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Final Extension: Call for Papers DMDMS 2018 - International Workshop on Data Mining for Decision Making Support
by adla.abdelkader＠univ-oran.dz 24 Jan '18

24 Jan '18

Dear Colleague, [Apologies for multiples copies] Please distribute this CFP among your colleagues and students] --------- DMDMS 2018 - CFP --------- Paper Submission: January 31, 2018 (Final) DMDMS: 2nd International Workshop on Data Mining for Decision Making Support In Conjunction with the 9th International Conference on Ambient Systems, Networks and Technologies May 8-11, 2018, Porto, Portugal http://www.univ-oran1.dz/images/DMDMS'18/index.html We cordially invite you to submit a paper, and to participate in the Data Mining for Decision Making Support workshop (DMDMS), to be held in Porto, Portugal, May 8-11, 2018. This workshop will provide a common platform for discussion of challenging issues and potential techniques in this emergence field of data mining for decision support. It will also serve as a critical and essential forum for integrating various research challenges in this domain and promote collaboration among researchers from academia and industry to enhance the state-of-art and help define a clear path for future research in this emerging area. The workshop invites researchers and practitioners to submit original work on methodologies, models, algorithms, systems, tools, applications and case studies of DMDMS. Most importantly, the workshop will be a forum to discuss how to utilize advances from multiple disciplines for building DMDMS that can intelligently merge human knowledge and expertise with formal models to make better decisions. TOPICS The topics of interest for the workshop include, but are not limited to: - Knowledge management for DMS - Ontologies for DMS - Case-based reasoning for DMS - Business intelligence for DMS - Data mining for DMS - Optimization methods for DMS - Knowledge and resource discovery for DMS - Information and Knowledge Retrieval for DMS - Group, distributed, and collaborative DMS - Big Data Analytics and DMS - Case studies of DMDMS PUBLICATION All papers accepted for the workshop will be scheduled for oral presentations and will be included in the ANT-2018 proceedings, which will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Sciences is hosted on www.Elsevier.com and on Elsevier content platform ScienceDirect (www.sciencedirect.com) and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com) and by Thomson Reuters' Conference Proceeding Citation Index http://thomsonreuters.com/conference-proceedings-citation-index/. The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings. All accepted papers will also be indexed in DBLP (http://dblp.uni-trier.de/) At least one of the authors will be required to register and attend the workshop to present the paper in order to include the paper in the conference proceedings. The selective outstanding papers presented at the workshops, after further revision, will be considered for publication in journals special issues. PAPER SUBMISSION Prospective authors are invited to contribute original and high-quality papers to DMDMS workshop in PDF format through online submission systems at: https://easychair.org/conferences/?conf=dmdms2018 The submitted paper must be no longer than 6 pages including all figures, tables and references. They must be formatted according to the guidelines of Procedia Computer Science, MS Word Template, Latex, Elsevier, as given in ANT-2018 website: http://cs-conferences.acadiau.ca/ant-18/ IMPORTANT DATES - Paper Submission: January 31, 2018 (Final) - Acceptance Notification: February, 23 2018 - Final Manuscript Due: March 9, 2018 Please check further details at the DMDMS Workshop Website: http://www.univ-oran1.dz/images/DMDMS'18/index.html We look forward to welcoming you in Porto! Workshop Contact: Abdelkader Adla Adla.abdelkader(a)univ-oran.dz ------------------------------------------------------------------------------- > MESSAGE DE L'UNIVERSITE D'ORAN.

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Call for Papers - 4th IEEE Workshop on Security and Privacy in the Cloud (SPC 2018)
by Giovanni Livraga 24 Jan '18

24 Jan '18

CALL FOR PAPERS ********************************************************************** 4th IEEE Workshop on Security and Privacy in the Cloud (SPC 2018) Beijing, China - May 30-June 1, 2018 http://spc2018.di.unimi.it/ ********************************************************************** Cloud computing is today the reference paradigm for large-scale data storage and processing due to the convenient and efficient network access to configurable resources that can be easily adjusted according to the users’ needs. Although the benefits of cloud computing are tremendous, security and privacy concerns have still a detrimental impact on the adoption and acceptability of cloud services. In fact, users as well as companies that rely on cloud storage and computation services lose the direct control over the systems managing their data and applications, thus putting the confidentiality, integrity and availability of the data at risk. The goal of this workshop is to bring together researchers and practitioners who are interested in discussing the security, privacy, and data protection issues emerging in cloud scenarios, and possible solutions to them. SPC 2018 is the fourth workshop in this series and will be held in Beijing, China, on May 30-June 1, in conjunction with the IEEE Conference on Communications and Network Security (IEEE CNS 2018). The workshop seeks submissions from academia, industry, and government presenting novel research, as well as experimental studies, on all theoretical and practical aspects of security, privacy, and data protection in cloud scenarios. Topics of interest include, but are not limited to: - Anonymity in cloud scenarios - Applied cryptography in cloud scenarios - Cloud-based biometric systems - Data and application security - Data and system integrity - Data availability in outsourcing scenarios - Data protection - Efficient access to outsourced data - Key management in cloud scenarios - Privacy - Privacy of accesses - Secure computation over encrypted data - Security and trust metrics - Security and privacy in crowdsourcing - Security and privacy in multi-clouds and federated clouds - Security and privacy in data outsourcing - Security and privacy in the Internet of Things - Security and privacy of big data - Security and privacy of distributed computations - Security and privacy of fog computing - Security and privacy policies - Selective information sharing - Threats, vulnerabilities, and risk management PAPER SUBMISSIONS Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Submissions should be at most 9 pages in the IEEE 8,5"x11" two-column format. Submissions should not be anonymized. The workshop will also consider short submissions of up to 4 pages for results that are preliminary or that simply require few pages. Papers should be submitted for review through EDAS (http://edas.info/N24475) Only PDF files will be accepted. Submissions not meeting these guidelines risk rejection without consideration of their merits. Papers must be received by the deadline of March 5, 2018 (11:59 p.m. American Samoa time). Authors of accepted papers must guarantee that their papers will be presented at the workshop. Accepted and presented papers will be included in the IEEE CNS 2018 conference proceedings and also in IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. IMPORTANT DATES Paper submission due: March 5, 2018 Notification to authors: March 26, 2018 Camera ready due: April 2, 2018 PC CHAIR Sara Foresti, Universita' degli Studi di Milano, Italy PUBLICITY CHAIR Giovanni Livraga, Universita' degli Studi di Milano, Italy PROGRAM COMMITTEE To be announced If you have any question, please contact the organizers at spc2018(a)di.unimi.it

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Call for Papers: CD-MAKE 2018
by res.mb.conference 24 Jan '18

24 Jan '18

---- Call for Papers ---- International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction CD-MAKE in Hamburg (Germany) August 27 - August 30, 2018 https://cd-make.net CD stands for Cross-Domain and means the integration and appraisal of different fields and application domains (e.g. Health, Industry 4.0, AAL, Automotive Engineering etc.) to provide an atmosphere to foster different perspectives and opinions. The conference is dedicated to offer an international platform without any boundaries for novel ideas and a fresh look on the methodologies to put crazy ideas into Business for the benefit of the human. Serendipity is a desired effect, and shall cross-fertilize methodologies and transfer of algorithmic developments. MAKE stands for MAchine Learning & Knowledge Extraction. CD-MAKE is a joint effort of IFIP TC 5, IFIP WG 8.4, IFIP WG 8.9 and IFIP WG 12.9 and is held in conjunction with the International Conference on Availability, Reliability and Security (ARES). Keynote Speakers are Neil D. LAWRENCE (Amazon) and Marta MILO (University of Sheffield). IFIP is the International Federation for Information Processing and the leading multi-national, non-governmental, apolitical organization in Information & Communications Technologies and Computer Sciences, is recognized by the United Nations and was established in the year 1960 under the auspices of the UNESCO as an outcome of the first World Computer Congress held in Paris in 1959. Papers are sought from the following seven topical areas. Papers which deal with fundamental questions and theoretical aspects in machine learning are very welcome. 1) DATA - Data science (data fusion, preprocessing, mapping, knowledge representation), 2) LEARNING - Machine learning algorithms, 3) VISUALIZATION - and visual analytics 4) PRIVACY - data protection, safety, security, ethics, acceptance and social issues of ML 5) NETWORK - graphical models, graph-based ML 6) TOPOLOGY - geometrical machine learning, topological data analysis 7) ENTROPY - time and machine learning, entropy-based ML Important Dates: Paper Submission Deadline: April, 1, 2018 Author Notification: May, 27, 2018 Author Registration (latest): June, 17, 2018 Camera Ready (hard deadline!): June 27, 2018 Conference: August 27 - 30, 2018 The CD-MAKE Submission System (EasyChair) can be found here: https://easychair.org/conferences/?conf=cdmake2018 2017 Accepted Papers have been published by Springer LNCS. Outstanding contributions will be invited to special issues of journals (see Website - special sessions). ---- Call for Papers due to April 1, 2018 ----

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Call for Papers: ARES 2018
by res.mb.conference 24 Jan '18

24 Jan '18

ARES 2018 - CALL FOR PAPERS ****************************************************************************************** The 13th International Conference on Availability, Reliability and Security (ARES 2018) August 27 - August 30, 2018, Hamburg, Germany http://www.ares-conference.eu ****************************************************************************************** ICS-CSR 2018 (https://ics-csr.com/) & CD-MAKE 2018 (https://cd-make.net/) co-located with ARES! *********** ARES CONFERENCE ************ The 13th International Conference on Availability, Reliability and Security ("ARES - The International Dependability Conference") will bring together researchers and practitioners in the area of dependability. ARES will highlight the various aspects of dependability - with special focus on the crucial linkage between availability, reliability and security. ARES aims at a full and detailed discussion of the research issues of dependability as an integrative concept that covers amongst others availability, safety, confidentiality, integrity, maintainability and security in the different fields of applications. ARES will emphasize the interplay between foundations and practical issues of dependability in emerging areas such as e-government, m-government, location-based applications, ubiquitous computing, autonomous computing, chances of grid computing etc. ARES is devoted to the critical examination and research challenges of the various aspects of Dependable Computing and the definition of a future road map. Selected papers that are accepted by and presented at the ARES Conference will be published, after further revision, in special issues of international journals (e.g. Springer EURASIP Journal on Information Security). The acceptance rate of the ARES 2017 conference was 24% (full papers only). ARES 2017 was published by the International Conference Proceedings Series published by ACM (ACM ICPS). ARES is ranked as B-conference in CORE. Qualis (backed by Brazilian Ministry) ranked ARES and Esorics as leading security conference in Europe (A2) l papers only). ************ CONFERENCE OFFICERS ************ General Chairs 2018 Mathias Fischer, Universität Hamburg, Germany Dominik Herrmann, Universität Hamburg, Germany Program Committee Chairs 2018 Christian Doerr, TU Delft, Netherlands Sebastian Schrittwieser, FH St. Pölten, Austria ************ IMPORTANT DATES ************ Submission Deadline: March 16, 2018 23:59 UTC-11 Author Notification: May 30, 2018 Proceedings Version: June 29, 2018 Conference: August 27 - August 30, 2018 ************ SUBMISSION ************ ARES 2017 was published by the International Conference Proceedings Series published by ACM (ACM ICPS). Authors are invited to submit research and application papers according the following guidelines: two columns, single-spaced, including figures and references, using 10 pt fonts and number each page. For the main conference as well as the workshops submission papers are classified into 3 categorizes representing original, previously unpublished work: -full paper (10 pages) -short paper (6 pages) -workshop paper (8 pages, a maximum of 10 pages is tolerated) Formating Instructions / template: Please read the template instructions carefully before submitting a paper, they can be found here (http://www.acm.org/publications/article-templates/proceedings-template.html/) Papers submitted to ARES 2018 have to use the SigConf template! Submitted papers will be carefully evaluated based on originality, significance, technical soundness, presentation and clarity of exposition. Simultaneous submission of the same work to multiple venues, submission of previously published work, or plagiarism constitutes dishonesty or fraud. ARES, like other scientific and technical conferences and journals, prohibits these practices and may take action against authors who have committed them. Contact author must provide the following information at the ARES conference system: paper title, authors' names, affiliations, postal address, phone, fax, and e-mail address of the author(s), about 200-250 word abstract, and about five keywords. Accepted papers will be given guidelines in preparing and submitting the final manuscript(s) together with the notification of acceptance. Double blind review: ARES requires anonymized submissions - please make sure that submitted papers contain no author names or obvious self-references. Submission of a paper implies that should the paper be accepted, at least one of the authors will register and present the paper in the conference. The ARES submission system (EasyChair) is available here: https://easychair.org/conferences/?conf=ares2018 Publishing preprints to Arxiv or other, open repositories is allowed prior to the notification of ARES and does not violate the requirement for novelty. Reviewers will be asked to not search for and ignore preprints that can deanonymize blinded submission. Important Note: To avoid accepting papers for ARES 2018 which are not presenting original work your paper will be plagiarism checked by PlagScan Plagarism Check. If you don't want your paper to be checked automatically please contact us. ************ PROGRAM COMMITTEE ************ Isaac Agudo Ruiz, University of Malaga, Spain Todd R. Andel, University of South Alabama, United States Abdelmalek Benzekri, University of Toulouse, France Francesco Buccafurri, University of Reggio Calabria, Italy Lasaro Camargos, Federal University of Uberlândia, Brazil David Chadwick, University of Kent, United Kingdom Nathan Clarke, Plymouth University, United Kingdom Jörg Daubert, TU Darmstadt, Germany Luca De Cicco, Politecnico di Bari, Italy José Maria de Fuentes, Carlos III University of Madrid, Spain Pavlos Efraimidis Democritus, University of Thrace, Greece Dominik Engel, Salzburg University of Applied Sciences, Austria Christian Engelmann, Oak Ridge National Laboratory, United States Hannes Federrath, University of Hamburg, Germany Christophe Feltus, Luxembourg Institute of Science and Technology, Luxembourg Umberto Ferraro Petrillo, Universitá degli studi di Roma - La Sapienza, Italy Steven Furnell, Plymouth University, United Kingdom Joaquin Garcia-Alfaro, Télécom SudParis, France Karl Goeschka, Vienna University of Technology, Austria Lorena Gonzalez-Manzano, Carlos III University of Madrid, Spain Bogdan Groza, Politehnica University of Timisoara, Romania Sheikh Mahbub Habib, TU Darmstadt, Germany Dominik Herrmann, University Hamburg, Germany Martin Gilje Jaatun, SINTEF, Norway Jan Jürjens, TU Dortmund and Fraunhofer ISST, Germany Anatoli Kalysch, Friedrich-Alexander University Erlangen-Nuremberg, Germany Sokratis K. Katsikas, NTNU: Norwegian University of Science and Technology, Norway Peter Kieseberg, SBA Research, Austria Ralf Kuesters, University of Stuttgart, Germany Oksana Kulyk, TU Darmstadt, Germany Romain Laborde, University of Toulouse, France Costas Lambrinoudakis, University of Piraeus, Greece Shujun Li, University of Surrey, United Kingdom Giovanni Livraga, Universita' degli Studi di Milano, Italy Robert Luh, Institute of IT Security Research, Austria Keith Martin, Royal Holloway, University of London, United Kingdom Barbara Masucci, University of Salerno, Italy Ioannis Mavridis, University of Macedonia, Greece Wojciech Mazurczyk, Warsaw University of Technology, Poland Mattia Monga, Universita` degli Studi di Milano, Italy Haralambos Mouratidis, University of Brighton, United Kingdom Thomas Nowey, Krones AG, Germany Jaehong Park, University of Alabama in Huntsville, United States Günther Pernul, University of Regensburg, Germany Stefanie Rinderle-Ma, Vienna University, Austria Michael Roßberg, TU Ilmenau, Germany Volker Roth, Freie Universität Berlin, Germany Giovanni Russello, University of Auckland, New Zealand Mark Scanlon, University College Dublin, Ireland Sebastian Schinzel, FH Münster, Germany Jörn-Marc Schmidt, Secunet, Germany Max Schuchard, University of Minnesota, United States Stefan Schulte, Vienna University of Technology, Austria Daniele Sgandurra, Royal Holloway, University of London, United Kingdom Jon A. Solworth, University of Illinois at Chicago, United States Jordi Soria-Comas, Universitat Rovira i Virgili, Spain Mark Strembeck, WU Vienna, Austria Jakub Szefer, Yale University, United States Oliver Theel, Carl von Ossietzky Universität Oldenburg, Germany Simon Tjoa, St. Pölten University of Applied Sciences, Austria Emmanouil Vasilomanolakis, TU Darmstadt Germany Umberto Villano, Universita' del Sannio, Italy Corrado Aaron, Visaggio Univeristà del Sannio, Italy Xiao Wang, Carnegie Mellon University, United States Christos Xenakis, University of Piraeus, Greece Nicola Zannone, Eindhoven University of Technology, Netherlands *********** TOPCIS of interest include, but are not limited to: ************ Authorization, Authentication, and Access Control Availability, Dependability, and Resilience Botnets and Botnet Monitoring Business Continuity & Resilience Cost/Benefit Analysis Cryptography Dependability Aspects for Special Applications Dependability Aspects of e-Government Dependability and Resilience in Open Source Software Designing Security Requirements Digital Forensics E-Commerce Dependability Identity Management IPR of Security Technology Incident Response and Prevention Information Flow Control Information Hiding and Steganograhpy Interoperability Aspects Intrusion Detection and Fraud Detection Legal Issues related to Security and Privacy Mobile Security Network and Organizational Vulnerability Analysis Network Security Privacy-Enhancing Technologies Process based Security Models and Methods Resilience and Security for Critical Infrastructures Resilience of Computing Systems Resilience, Security, and Privacy for Smart Grids Resilience, Security, and Privacy for the Internet of Things RFID Security and Privacy Risk planning, Analysis & Awareness Safety Critical Systems Secure Enterprise Architectures Security and Privacy for Ubiquitous Systems Security and Privacy in E-Health Security and Trust Management in P2P and Grid applications Security and Privacy for Sensor Networks, Wireless/Mobile Devices and Applications Security and Usability Security as Quality of Service Security in Distributed Systems / Distributed Databases Security in Electronic Payments Security in Electronic Voting Software Engineering of Dependable Systems Software Security Threats and Attack Modelling Trusted Computing Tools for Dependable System Design and Evaluation Trust Models and Trust Management Wireless Security

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 23 Jan '18

23 Jan '18

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier Submission deadline: February 1st, 2018 The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins) The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: February 1st, 2018 First round notification: May 1st, 2018 Revised version due: July 1st, 2018 Final notification: August 1st, 2018 Camera-ready due: September 15th, 2018 Publication tentative date: December 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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1st International Workshop on Advances in High-Performance Algorithms Middleware and Applications
by Massimo Cafaro 23 Jan '18

23 Jan '18

My apologies for multiple copies. 1st International Workshop on Advances in High-Performance Algorithms Middleware and Applications http://sara.unisalento.it/~cafaro/AHPAMA2018/ Held in conjunction with the the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2018), Washington, DC, USA May 1-4 2018 The Workshop on Advances in High-Performance Algorithms Middleware and Applications is an international forum which brings together researchers and practitioners working on different high-performance aspects of algorithms, middleware and technologies enabling novel applications. Middleware technologies include tools to assemble together different resources such as parallel supercomputers, data archives, high-speed storage systems, advanced visualization devices and scientific instruments using high speed networks connecting geographically distributed devices and organizations. Many recent international efforts are actively fostering the development of such applications and technologies. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of algorithms and applications. Creating breakthrough parallel algorithms for high-performance applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance algorithms middleware and applications, and related topics. For example, the following topics are relevant to the workshop: - Scalable message-passing parallel algorithms using MPI - Scalable shared-memory parallel algorithms using OpenMP - GPGPU parallel algorithms using OpenCL or CUDA - Green High-Performance Computing - Exploiting modern parallel architectures including FPGA, many-cores and multi-cores for parallel applications - Middleware for high-performance computing - Benchmarking and performance studies of high-performance applications - Novel programming paradigms to support high-performance computing - Performance models for high-performance applications and middleware - Efficient job scheduling for high-performance applications - Performance-aware resource reservation - Security-related performance issues - Programming models, tools, and environments for high-performance computing - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing - Peer-to-peer systems for high-performance grid and cloud environments - Optimization techniques for mobile grids Submission Guidelines The results presented in the paper must be unpublished and not submitted for publication elsewhere, including the proceedings of other conferences or workshops. Papers will be peer-reviewed by at least three reviewers. Papers are evaluated with respect to originality, significance, clarity, and technical soundness. One author of each accepted paper will be expected to present the paper at the workshop. Authors are invited to submit papers electronically in PDF format. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter-size (8.5 x 11) pages including all figures, tables and references using the IEEE format for conference proceedings. Papers need to be submitted through Easy Chair following this link: https://easychair.org/conferences/?conf=ahpama1 Important Dates Paper submission: February 23, 2018 Author notification: March 7, 2018 Camera ready: March 15, 2018 Workshop: May 1-4, 2018 Workshop Organizers Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it Program Committee To be defined... - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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The Second International Workshop on Parallel and Distributed Data Mining (WPDM 2018)
by Massimo Cafaro 23 Jan '18

23 Jan '18

The Second International Workshop on Parallel and Distributed Data Mining (WPDM 2018) http://sara.unisalento.it/~cafaro/WPDM2018/ CALL FOR PAPERS As part of The 18th International Conference on Computational Science and Its Applications (ICCSA 2018), http://www.iccsa.org July 2 - 5 2018, Melbourne, Australia Submission Deadline: January 28, 2018 SPECIAL ISSUE Selected extended versions of workshop papers will be invited to a Special Issue to appear in the Algorithms journal (see http://www.mdpi.com/journal/algorithms/special_issues/Parallel_Distributed_…) SCOPE AND OBJECTIVES The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics. The WPDM Workshop topics include (but are not limited to) the following: - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… To submit a paper, please connect to the Submission site from the link available at the ICCSA 2018 web site: http://ess.iccsa.org. Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form. CONFERENCE POLICY By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. If you have any questions about paper submission or the workshop, please contact the workshop organisers. IMPORTANT DATES January 28, 2018: Deadline for paper submission April 8, 2018: Notification of Acceptance. May 6, 2018: Early-bird Registration ends. May 6, 2018: Submission deadline for the final version of the Papers July 2-5, 2018: ICCSA 2018 Conference WORKSHOP ORGANIZERS Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it International Program Committee: All submitted papers will be reviewed by the workshop technical program committee members. Program Committee formation is pending and will be finalised shortly. Current TPC members: Gianfranco Bilardi, University of Padova, Italy Matteo Ceccarello, University of Padova, Italy Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Giuseppe Di Fatta, University of Reading, UK Ann Gordon-Ross, University of Florida, USA Giuliano Laccetti, University of Naples, Italy Pablo Moscato, University of Newcastle, Australia Mitsunori Ogihara, University of Miami, USA Domenico Talia, University of Calabria, Italy Paolo Trunfio, University of Calabria, Italy Jeffrey D. Ullman, Stanford University, USA - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Joint Conference on Data Science 2018, Edinburgh
by Felix Engel 22 Jan '18

22 Jan '18

... sorry for cross posting! We would like to invite you to the first Joint Conference on Data Science in Edinburgh! Please share the invitation and let us know, if you are interested in submitting a paper, hosting a workshop or giving a demo session..... Call for Papers Joint Conference on Data Science (JCDS 2018) Deepening the role of data science as a transformational force for innovation, discovery, and societal benefit The aim of the Joint Conference on Data Science 2018 (JCDS18) is to bring together academics, policy-makers, and business people passionate about the emergent field of data science as a force for strategic transformation in an academic and professional context. This data science conference arises out of a series of successful predecessor conferences; the JCDS series has been created to foster a vital exchange between parties from industry and academia interested in the wide field of data science. Essentially, the increasing availability of vast libraries of digitised information influences the ways in which we comprehend and analyse our environment, and realise businesses for our societal benefit. In this situation, data science creates a transformational force with impact on current innovation potential in industry and academia. Given this transformational potential, it is inevitable that new teaching activities will play a significant role in realising this potential. Selected papers will be published in Springer Lecture Notes in Computer Science. 22. -23. May 2018, Edinburgh, UK Important Dates · Workshop, Tutorial, and Demo Proposal Submission Due: 18. February 2018 · Paper Submission Due: 18. March 2018 Contact Conference Chairs · Professor Dr.-Ing. Matthias Hemmje, Department of MMIA, University of Hagen, Germany, <mailto:jcds18@ftk.de> jcds18(a)ftk.de · Dr. Wouter Los, Faculty of Science, University of Amsterdam, The Netherlands, <mailto:jcds18@ftk.de> jcds18(a)ftk.de <mailto:jcds18@ftk.de> More information · Website: <http://jcds2018.ftk.de> http://jcds2018.ftk.de · Twitter: <https://twitter.com/jcds2018> https://twitter.com/jcds2018 · Facebook: <https://www.facebook.com/JCDS2018/> https://www.facebook.com/JCDS2018/

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PDSEC/IPDPS-18 workshop: extended deadline
by Peter Strazdins 22 Jan '18

22 Jan '18

(apologies for cross-postings) The 19th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-18) http://cse.stfx.ca/~pdsec18 will be held on May 25, 2018 in Vancouver in conjunction with IPDPS 2018. Deadline: PDSEC-18 extended deadline: 02 Feb 2018 (AoE) Scope and Interests: The technological trends of HPC system evolution indicates increasing burden for application developers in management of the unprecedented levels of complexity in hardware and the associated performance characteristics. Many existing application codes are unlikely to perform well on future systems without major modifications or even complete rewrites. It will be important to utilize, in unison, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The HPC community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences of scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. Important Dates: Paper submission due (FINAL EXTENSION) . . . . . February 02, 2018 Notification of Acceptance . . . . . . . . . . . March 02, 2018 Final camera-ready paper . . . . . . . . . . . . March 15, 2018 Workshop . . . . . . . . . . . . . . . . . . . . May 25, 2018 General Chairs Peter Strazdins, Australian National University, Australia Raphael Couturier, University of Franche-Comte, France Program Chairs Keita Teranishi, Sandia National Laboratories, USA Joseph Antony, National Computational Infrastructure, Australia Steering Committee Thomas Rauber, University of Bayreuth, Germany Gudula Runger, Chemnitz University of Technology, Germany Laurence T. Yang (Chair), St. Francis Xavier University, Canada -- Regards, Peter ------------------------------------------------------------------------ Peter Strazdins, PhD GCHE, SIEEE SFHEA Research School of Computer Science ANU College of Engineering and Computer Science CSIT Building 108, North Rd The Australian National University, Canberra ACT 2601 AUSTRALIA T: +61 2 6125 5140 F: +61 2 6125 0010 W: http://cs.anu.edu.au/~Peter.Strazdins E: Peter.Strazdins(a)cs.anu.edu.au ------------------------------------------------------------------------

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Job Openings for Professor / Associate Professor / Assistant Professor (Data Analytics and Artificial Intelligence, Data Journalism, and Healthcare Analytics) (PR216/17-18)
by comp hkbu 19 Jan '18

19 Jan '18

http://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=417 Hong Kong Baptist University is developing cutting-edge Data Analytics and Artificial Intelligence (AI) technologies and their cross-talks with different disciplines for high impact applications. The University's AI Cluster is now recruiting a number of full-time faculty members at all grades from Assistant Professor to Full Professor who have a strong passion in interdisciplinary research as well as a strong research track record in Data Analytics and AI algorithms or their applications to Chinese Medicine, Healthcare, Journalism, and Media. They will be working collaboratively towards interdisciplinary research challenges including data-driven drug discovery for Chinese medicine (TCM), evidence-based TCM knowledge graph development, automated news writing, visual analytics for investigative reporting, etc. The candidates are expected to have a PhD degree in Computer Science, Medical Science, Chinese Medicine, Journalism, Media or equivalent. They could be jointly appointed by more than one department, including but not limited by the Department of Computer Science (Faculty of Science), School of Chinese Medicine, and/or Department of Journalism (School of Communication). Associate Professors and Full Professors should have an established research track record and are expected to lead interdisciplinary research project teams for high impact Data Analytics and AI applications. Assistant Professors are expected to be key players in the interdisciplinary research project teams. The appointees are also expected to teach undergraduate and postgraduate courses in the hosting departments, including programme management, as well as contribute to professional and institutional services. Initial appointment will be made on a fixed-term contract of three years commencing in 2018. Re-appointment thereafter is subject to mutual agreement and availability of funding. For enquiry, please send email to *data-ai [at] hkbu.edu.hk <http://hkbu.edu.hk>*. More information can be found at http://hkbu.ai. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) and send in samples of publications, preferably three best ones out of their most recent publications. Applicants not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will not be returned after the completion of the recruitment exercise unless upon request. Details of the University's Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions then applicable at the time of offer. Review of applications will begin on *1 March 2018* and will continue until the position is filled.

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