Special Issue "The Second International Workshop on Parallel and Distributed Data Mining"
A special issue of Algorithms (ISSN 1999-4893). Deadline for manuscript submissions: 21 December 2018
http://www.mdpi.com/journal/algorithms/special_issues/Parallel_Distributed_D...
Special Issue Information
Dear Colleagues,
This Special Issue is devoted to the increasing interest in the design and implementation of parallel and distributed data mining algorithms. The Workshop on Parallel and Distributed Data Mining (WPDM 2018) is an international forum that brings together researchers and practitioners, working on different high-performance aspects of data mining algorithms, enabling novel applications. Indeed, datasets grow so rapidly that, every day, exabytes of data are being generated, and, in order to extract and infer useful knowledge, parallel processing techniques are required to cope with this huge volume of data: Traditional sequential software is not viable to cope with them. When the data are generated in different places (such as wireless sensor networks and/or Internet of things devices), they may be geographically spread out, and the data cannot be sent to a centralized site, thus, the need for distributed processing algorithms arises. Topics relevant to this Special Issue cover the scope of the WPDM 2018 Workshop (http://sara.unisalento.it/~cafaro/WPDM2018/):
- 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
Extended versions of papers presented at WPDM 2018 are sought, but this call for papers is fully open to all those who wish to contribute by submitting a relevant research manuscript.
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 850 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Special Issue Editors
Guest Editor Assoc. Prof. Massimo Cafaro
Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy
Guest Editor Dr. Italo Epicoco
Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy
Guest Editor Dr. Marco Pulimeno
Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy
Guest Editor Prof. Giovanni Aloisio
Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy
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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@unisalento.it cafaro@ieee.org cafaro@acm.org
CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro@cmcc.it
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