Session 02- HPPD-DM
Special Session on High Performance Parallel and Distributed Data Mining
Call for Papers and Participation
As part of
The 2011 International Conference on High Performance Computing & Simulation
July 4 – 8, 2011
http://hpcs11.cisedu.info/ or http://cisedu.us/rp/hpcs11
In Conjunction With
The International Wireless Communications and Mobile Computing Conference (IWCMC 2011)
(Submission Deadline: February 28, 2011)
SCOPE AND OBJECTIVES
The HPPD-DM special session focuses on the issues of high performance, distributed and parallel computation in the process of knowledge discovery from large databases. Theoretical advances, algorithm and systems, as well as application cases are welcome contributions.
Over the years the definition of high performance computing evolved according to the opportunities provided by new technologies and to 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 the analysis of very large volumes of possibly distributed data, such as those generated by scientific application or Web x.0 services.
The HPPD-DM special session aims at presenting new and original contributions focusing on application of high performance parallel and distributed data mining, including distributed, parallel, P2P and data intensive algorithms and systems. We wish to 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.
Topics of interest include (but are not limited to) the following:
Efficient, scalable, disk-based, parallel and distributed algorithms for large-scale data mining and pre-processing and post-processing tasks
Data mining exploiting multi-core CPUs or GPUs
Grid-based and cluster-based data mining algorithms and systems
Data mining on Clouds
Data Mining exploiting Map-Reduce paradigm
Distributed techniques for incremental, exploratory and interactive mining
Distributed techniques for security, privacy preserving data mining
Peer-to-Peer Data Mining
High performance data stream mining and management
Resource and location-aware mining algorithms
Data mining in mobile environments
Theoretical foundations for resource-aware mining in a mobile, streaming and/or distributed environments
Advances in data mining over multimedia data
Parallel or distributed frameworks for stream management, KDD systems, and parallel or distributed mining
Applications of parallel and distributed data mining in business, science, engineering, medicine, and other disciplines.
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. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and authors email addresses. Please, indicate clearly the corresponding author and include up to 6 keywords from the above list of topics and an abstract of no more than 450 words. The full manuscript should be at most 7 pages using the two-column IEEE format. Additional pages will be charged additional fee. Please include page numbers on all submissions to make it easier for reviewers to provide helpful comments. Submit a PDF copy of your full manuscript at the following URL: https://cmt.research.microsoft.com/HPPDDM2011/.
Only PDF files will be accepted. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, contributions, technical clarity and presentation. Authors of accepted papers must guarantee that their papers will be registered and presented at the session. Accepted papers will be published in the conference proceedings which will be made available at the time of the meeting. All accepted papers are expected to be published as ISBN proceedings by the IEEE. The proceedings will be indexed by several major international indexes (including DBLP) and will be available online through IEEE Digital Library.
If you have any questions about paper submission or the workshop, please contact the organizers.
SPECIAL SESSION ORGANIZERS
Via P. Bucci 41/C
Phone: +39 0984 831736
Fax: +39 0984 839054
Siemens Corporate Research
755 College Road East
Princeton, NJ, USA
Phone: +1 (609) 734-3529
Fax: +1 (609) 734-3346
International Program Committee:
All submitted papers will be rigorously reviewed by the technical program committee members following similar criteria used in HPCS 2011.
Sadok Ben Yahia, Faculty of Sciences of Tunis, Tunisia
Yun Chi, NEC Laboratories America, USA
Neil Chue Hong, EPCC, UK
Bruno Cremilleux, Universite de Caen, France
Dmitriy Fradkin, Siemens, USA
Tarek Hamrouni, Faculty of Sciences of Tunis, Tunisia
Aleksander Kolcz, Microsoft Live Labs, USA
Claudio Lucchese, ISTI-CNR, Italy
Hassan Malik, Columbia University, USA
Christian Moewes, University of Magdeburg, Germany
Andrea Pietracaprina, University of Padova, Italy
Matthias Schubert, University of Munich, Germany
Domenico Talia, University of Calabria, Italy
Alexandre Termier, Universite Joseph Fourier, France
Paolo Trunfio, University of Calabria, Italy
Zhuang Wang, Siemens, USA
Arthur Zimek, University of Munich, Germany
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://hpcs11.cisedu.info/ or contact one of the Conference's organizers.
If you have any questions about the HPCS 2011 conference paper submission, please contact Conference Program Chair: Waleed W. Smari, Voice: +1 (937) 681-0098, Email: firstname.lastname@example.org.