posted by organizer: cafaro || 2821 views || tracked by 7 users: [display]

WPDM 2017 : The first International Workshop on Parallel Data Mining

FacebookTwitterLinkedInGoogle

Link: http://hpcs2017.cisedu.info/conference/workshops---hpcs2017/workshop21-wpdm
 
When Jul 17, 2017 - Jul 21, 2017
Where Genoa, Italy
Submission Deadline Mar 20, 2017
Notification Due Apr 10, 2017
Final Version Due May 3, 2017
Categories    parallel computing   data mining
 

Call For Papers




The first International Workshop on Parallel and Distributed Data Mining (WPDM 2017)

CALL FOR PAPERS

As part of The International Conference on High Performance Computing & Simulation (HPCS 2017)
http://hpcs2017.cisedu.info or http://cisedu.us/rp/hpcs17

July 17 – July 21, 2017
Genoa, Italy


Submission Deadline: April 15, 2017 (extended)

Submissions could be for full papers, short papers, poster papers, or posters


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, parallelising 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 organisation and decomposition strategy in order to balance the workload while minimising data dependences. Another concern is related to minimising synchronisation and communication overhead. Finally, I/O costs should be minimised 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:

- Scalable message-passing parallel data mining algorithms using MPI
- Scalable shared-memory parallel data mining algorithms using OpenMP
- Scalable hybrid MPI + OpenMP parallel data mining algorithms
- Parallel data mining algorithms targeting GPUs and many-cores accelerators
- Exploiting modern parallel architectures including FPGA for parallel data mining applications
- Map-reduce based parallel data mining algorithms
- 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
- Caching, streaming, pipelining, and other optimisation 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 and other topics related to synergy between parallel computing, optimisation and simulation. Submitted papers must not have been published or simultaneously submitted elsewhere. For Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. Short papers (up to 4 pages), poster papers and posters (please refer to http://hpcs2017.cisedu.info/1-call-for-papers-and-participation/call-for-posters for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments.

Submit a PDF copy of your full manuscript to the workshop EasyChair paper submission site at https://easychair.org/conferences/?conf=wpdm2017. Acknowledgement will be sent within 48 hours of submission.

Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2017 conference to present the paper at the workshop.

PROCEEDINGS

Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2017 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly.

SPECIAL ISSUE

Plans are underway to have the best papers, in extended version, selected for possible publication in a journal as special issue. Detailed information will soon be announced and will be made available on the conference website.

The best papers, in extended version, will be selected for possible publication in a special issue of
a) Information Sciences, Elsevier;
b) International Journal of Big Data Intelligence, Inderscience Publishers.

If you have any questions about paper submission or the symposium, please contact the symposium organisers.





IMPORTANT DATES

Paper Submissions: ------------------------------------------- April 15, 2017
Acceptance Notification: -------------------------------------- April 28, 2017
Camera Ready Papers and Registration Due by: ------------------ May 11, 2017
Conference Dates: -------------------------------------------- July 17 – 21, 2017


WORKSHOP ORGANIZERS

Massimo Cafaro
University of Salento, Italy
Phone: +39 0832 297371
Fax: +39 0832 297235
Email: massimo.cafaro@unisalento.it

Italo Epicoco
University of Salento, Italy
Phone: +39 0832 297235
Fax: +39 0832 297235
Email: italo.epicoco@unisalento.it

Marco Pulimeno
University of Salento, Italy
Phone: +39 0832 297371
Fax: +39 0832 297235
Email: marco.pulimeno@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@unisalento.it

International Program Committee:

All submitted papers will be reviewed by the workshop technical program committee members.

Committee formation is pending and will be finalised shortly. Current TPC members:

Gianfranco Bilardi, University of Padova, Italy
Ronald Brightwell, Sandia National Laboratories, USA
Matteo Ceccarello, University of Padova, Italy
Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy
Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA
Kenli Li, Hunan University, China
Donato Malerba, Università degli Studi di Bari Aldo Moro, Italy
Pablo Moscato, University of Newcastle, Australia
Domenico Talia, University of Calabria, Italy
Paolo Trunfio, University of Calabria, Italy
Jeffrey D. Ullman, Stanford University, USA
Renato Vimieiro, Universidade Federal de Pernambuco, Brazil
Laurence T. Yang, St Francis Xavier University, Canada



For information or questions about Conference's paper submission, tutorials, posters, workshops, special sessions, exhibits, demos, panels and forums organisation, doctoral colloquium, and any other information about the conference location, registration, paper formatting, etc., please consult the Conference’s web site at URL: http://hpcs2017.cisedu.info or http://cisedu.us/rp/hpcs17 or contact one of the Conference's organisers.

Related Resources

KDD 2018   Knowledge Discovery and Data Mining Conference
ADAH 2017   Advanced Data Analytics in Health
WPDM 2018   The Second International Workshop on Parallel and Distributed Data Mining
MLDM 2018   14th International Conference on Machine Learning and Data Mining MLDM 2018
ICDM 2018   18th Industrial Conference on Data Mining ICDM 2018
INISTA 2018   IEEE International Conference on Innovations in Intelligent SysTems and Applications
DATA 2018   7th International Conference on Data Science, Technology and Applications
HPDC 2018   The 27th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'18)
AIAI 2018   14th Artificial Intelligence Applications and Innovations 2018
AusDM 2018   Australasian Data Mining Conference