Session 02- HPPD-DM

Call for Papers

As part of

The 2011 International Conference on High Performance Computing & Simulation

(HPCS 2011)

In Conjunction With

The International Wireless Communications and Mobile Computing Conference (IWCMC 2011)

July 4 – 8, 2011

Istanbul, Turkey

(Submission Deadline: February 28, 2011)


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:

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.

Important Dates:

Special Session on High Performance Parallel and Distributed Data Mining

(HPPD-DM 2011)


Eugenio Cesario


Via P. Bucci 41/C

Rende, ITALY

Phone: +39 0984 831736

Fax: +39 0984 839054


Fabian Moerchen

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: 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: