10th International Workshop on
High Performance Data Mining
(in conjunction with ICDM)
Pisa, December 15th 2008

Call For Papers

The HPDM workshop focuses on the issues of high performance, distributed and parallel computation in knowledge discovery and data mining. Theoretical advances, algorithm and systems, as well as application cases are welcome contributions. The workshop will take into consideration also relevant work-in-progress papers.

Over the years the definition of high performance computing evolved according to the opportunities provided by new technologies and to the needs of emerging industrial and scientific applications. Nowadays, high performance data mining includes the quest for fast algorithms that target performance by overcoming memory and I/O bottlenecks, for mining techniques that work in grid and cluster computing frameworks, and for solutions that exploit distributed and mobile computation. Innovative computing platforms, and solutions designed to cope with complex memory hierarchies can help meet the severe performance requirements in managing huge amounts of data.

This year the workshop aims at organizing a special theme session exploring emerging trends in computer architectures. We seek advances in exploiting multicore CPUs and GPUs in mining algorithms and techniques.

The workshop welcomes papers (including works in progress) on all aspects of high performance data mining, including, but not limited to:

* Data mining exploiting multi-core CPUs and/or GPUs
* Disk-based and memory-hierarchy aware algorithms
* High performance data-stream mining and management
* Mining of streaming multimedia content
* Efficient, scalable, parallel/distributed solutions
* Parallel and distributed KDD frameworks and systems
* Distributed and peer-to-peer data mining techniques
* Distributed techniques for incremental, exploratory and interactive mining
* Mining techniques for network management
* Data mining in mobile environments
* Scalable techniques for mining social networks
* Theoretical foundations for resource-aware mining in mobile, streaming, distributed environments
* Applications of parallel and distributed data mining in business, science, engineering, medicine, and other disciplines

Workshop Proceedings

All accepted papers will be included in the ICDM '08 Workshop Proceedings volume published by the IEEE Computer Society Press. We are considering whether to organize a journal special issue embracing the topics of the workshop. Extended versions of selected papers will be invited to submit.
Important Dates

* August 1, 2008 : Submission deadline
* September 15, 2008 : Notification of paper acceptance
* October 7, 2008 : Camera-ready of accepted papers

Papers Submission

The Submission Form to submit your work is available here. Paper submissions should be limited to a maximum of 10 pages in the IEEE 2-column format, (see the IEEE Computer Society Press Proceedings Author Guidelines).
At least one author per paper will have to register at ICDM Conference and present the paper at the workshop. There is no separate workshop fee.
Workshop Co-Chairs

* Greg Buehrer, Microsoft Live Labs
* Massimo Coppola, ISTI-CNR
* Claudio Lucchese, ISTI-CNR

Steering Committee

* Hillol Kargupta, University of Maryland, Baltimore County
* Vipin Kumar, University of Minnesota
* Srinivasan Parthasarathy, Ohio State University
* David Skillicorn, Queens University
* Mohammed Zaki, RPI

Program Committee

* Francesco Bonchi, Yahoo! Research Barcelona
* Toon Calders, Eindhoven Technical University
* Yen-Kuang Chen, Intel Research
* Amol Ghoting, IBM TJ Watson
* Aristides Gionis, Yahoo! Research Barcelona
* Hillol Kargupta, University of Maryland, Baltimore County
* Aleksander Kolcz, Microsoft Live Labs
* Vipin Kumar, University of Minnesota
* Anthony Nguyen, Intel Research
* Salvatore Orlando, University of Venice
* Srinivasan Parthasarathy, Ohio State University
* Raffaele Perego, ISTI-CNR, Italy
* Fabrizio Petrini, IBM TJ Watson
* Christophe Rigotti, INSA Lyon
* David Skillicorn, Queens University
* Domenico Talia, University of Calabria
* Philip S. Yu, University of Illinois
* Mohammed Zaki, RPI