The 7th Special Session on Parallel and Distributed Data Mining
Submissions could be for full papers, short papers, poster papers, or posters
SCOPE AND OBJECTIVES
The PDDM special session focuses on the issues of high performance, distributed and parallel computation in the process of knowledge discovery from large databases and big data systems. Theoretical advances, algorithms and systems, as well as application cases are welcomed contributions.
Over the years the definition of high performance computing evolved according to the opportunities provided by new technologies and the needs of the emerging industrial and scientific applications. High performance computing research topics range from traditional parallel and distributed algorithms, to modern multi-core CPU architectures, streaming GPUs, cloud computing, etc. Nowadays, high performance computing is a necessary support for Big Data and the analysis of very large volumes of possibly distributed data, such as those generated by scientific applications, Web x.0 services and IoT based infrastructures.
The PDDM special session aims at presenting new and original contributions focusing on the application of high performance parallel and distributed data mining, including distributed, parallel, P2P and data intensive algorithms and systems. We invite papers tackling the performance issues of data mining algorithms at all levels of the system architecture: I/O, memory bottlenecks, processor-level parallelism as well as distributed/parallel computation. All application areas are welcomed.
The PDDM Special Session topics include (but are not limited to) the following:
Parallel and distributed data mining algorithms on GPUs, many-cores, and accelerators
Grid-based and cluster-based data mining algorithms and systems
Data mining on Clouds
Data mining and blockchain
Data mining exploiting the Map-Reduce paradigm
Data mining exploiting approximate computing and information granulation
Message passing parallel data mining algorithms using MPI
Scalable shared-memory parallel data mining algorithms using OpenMP
FPGA for parallel data mining applications
Middleware for high-performance data mining
Peer-to-peer data mining
Programming paradigms to support high-performance computing for data mining
Programming models, tools, and environments for high-performance data mining
Benchmarking and performance studies of high-performance data mining solutions and applications
Performance models for high-performance data mining applications and infrastructures
Optimization techniques for data management in high-performance computing for data mining
Energy-efficient distributed data mining algorithms and systems
Scalable algorithms for deep learning and machine learning
Parallel and distributed data mining exploiting simulations
Distributed mining of complex and massive data streams
Distributed techniques for security and privacy preserving data mining
Data mining in social networks and social media
Data mining in mobile and multimedia environments
Data mining aspects of scalable artificial intelligence applications
Web mining and scalable information retrieval
Applications of parallel data mining in business, science, engineering, medicine, and other disciplines.
INSTRUCTIONS FOR PAPER SUBMISSIONS
You are invited to submit original and unpublished research works on above and other topics related to high performance parallel and distributed data mining. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. Submission can be 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), please submit a PDF copy of your full manuscript, not to exceed 4 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.
- Poster papers and Posters (please refer to http://hpcs2019.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 special session paper submission site at https://easychair.org/conferences/?conf=pddm2019 . 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 2019 conference to present the paper at the special session as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. For more information, please refer to the Authors Info and Registration Info pages.
Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2019 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.
Plans are underway to have the best papers, in extended version, selected for possible publication in a reputable journal as special issue. Detailed information will soon be announced and will be made available on the conference website.
If you have any questions about paper submission or the special session, please contact the special session organizers at firstname.lastname@example.org and email@example.com.
Paper Submissions: -------------------------------------------20 April 2019
Acceptance Notification: ------------------------------------- 30 April 2019
Camera Ready Papers and Registration Due by: ---------- 10 May 2019
Conference Dates: ------------------------------------------- 15–19 July 2019
International Program Committee*:
All submitted papers will be rigorously reviewed by the special session technical program committee members following similar criteria used in HPCS 2019 and will be published as part of the HPCS 2019 Proceedings.
Carson Leung, University of Manitoba, Canada
Carlo Mastroianni, ICAR-CNR, Italy
Domenico Talia, University of Calabria, Italy
(* Committee formation is pending and will be finalized shortly.)
For information or questions about Conference's paper submission, tutorials, posters, workshops, special sessions, exhibits, demos, panels and forums organization, doctoral colloquium, and any other information about the conference location, registration, paper formatting, etc., please consult the Conference’s web site at URL: http://hpcs2019.cisedu.info/ or http://conf.cisedu.info/rp/hpcs19 or contact one of the Conference's organizers.