[hpc-announce] Special Issue "The Second International Workshop on Parallel and Distributed Data Mining"

[Massimo CAFARO]

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_Data_Mining


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 at unisalento.it
 cafaro at ieee.org
 cafaro at acm.org

 CMCC Foundation
 Euro-Mediterranean Center on Climate Change
 Via Augusto Imperatore, 16 - 73100 Lecce
 massimo.cafaro at cmcc.it

************************************************************************************


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