Ohio State University
University of Maryland (Baltimore County Campus)
University of Minnesota
Queens University, Canada
Rensselaer Polytechnic Institute
E. Bertino, DSI, University of Milan, Italy
D. Cheung, University of Hong Kong, Hong Kong
A. Choudhary, Northwestern University, USA
Alex A. Freitas, PUC-PR (Pontifical Catholic University of Parana),
J. Gehrke, Cornell University, USA
R. Grossman, University of Illinois-Chicago, USA
Y. Guo, Imperial College, UK
Ron Musick, iKuni Inc., USA
M. May, GMD, Germany.
S. McClean, University of Ulster, N. Ireland, UK.
E. Neuhold, GMD, Germany.
Y. Pan, Georgia State University, USA
N. Samatova, Oak Ridge National Labs, USA
P. Scheuermann, Northwestern University, USA
K. Sivakumar, Washington State University, USA
N. Soparkar, Univeristy of Michigan, USA
D. Talia, DEIS, University of Calabria, Italy
G. Williams, CSIRO, Aust. Nat. Univ., Australia
R. Wirth, Daimler Chrysler, Germany
A. Zomaya, University of Western Australia, Australia
HPDM: RLM 2002
(advance program now available
5th International Workshop on High Performance Data Mining:
in conjunction with
Resource and Location aware Mining (HPDM:RLM'02)
April, 2002, Washington, USA
This is the 5th workshop on this theme held annually. The first four held
in conjunction with IPDPS were
held at Orlando (
HPDM'98), San Juan (
and San Francisco (PDDM01).
This years workshop in addition to retaining the same name,
has a special focus on mobile and location-aware data mining issues.
Increasingly the datasets used for data mining are physically
distributed. This may be because their size prevents them being gathered
in one location. It may also be because of legal or social restrictions
that prevent data gathered in one jurisdiction from being moved to another.
The focus of the workshop is data mining techniques that are aware of
the location and resource needs of datasets. This may include: partitioning
datasets for faster processing, knowledge discovery in distributed datasets
without gathering the raw data, data mining when the data itself may
change location unpredictably, and data mining in grid and mobile settings
where the processing may occur independently of the user's location or
Special focus topics of interest include but are not limited to:
- New resource and location-aware algorithms
for common data mining tasks such as
association mining, sequence mining, classification and clustering.
- Location and data-sensitive pre-processing and post-processing operations like sampling, dimensionality reduction, rule pruning and visualization.
- Data mining in mobile environments.
- Grid-based data mining.
- Agent-based approaches for location-aware and distributed data mining.
- Theoretical foundations of resource-aware data mining.
- Systems support for resource and location aware data mining.
In addition to the above special topics of interest we also invite papers
along more traditional parallel and distributed data mining (PDDM) lines such as:
- Efficient, scalable, disk-based, parallel and distributed algorithms for
large-scale data mining and pre-procesing and post-processing tasks.
Parallel or distributed techniques for
incremental, exploratory and interactive mining.
Meta-mining, coping with distributed and/or heterogeneous datasets.
Integration of mining with parallel/distributed databases and datawarehouses.
Frameworks for KDD systems, and parallel or distributed mining.
Agent based approaches for PDDM.
Applications of PDDM in business, science, engineering, medicine, and other
Theoretical foundation of PDDM.
- Paper Submissions due:
January 18 2002.
- Notification to authors:
Febrary 12 2002.
- Final papers due:
Febrary 26 2002.
Authors are instructed to submit articles that meet the following criteria:
Papers that do not meet the above criteria may not be reviewed.
Online submissions are encouraged and can be accomplished by
clicking here .
If you wish to submit earlier you can submit by emailing the PS or
PDF file to email@example.com .
Hardcopy submissions may be sent to:
- No more than 20 double spaced pages excluding bibliography.
- At least 11pt. font.
- One title page (not included in the above 20) containing:
- the title
- names and affiliations of all authors
- contact author information
- abstract of no more than 100 words
- PS or PDF format only.
Dr. Srinivasan Parthasarathy
Please be aware that hardcopy submissions
must arrive at the above address by the due date in order to be considered by
the program committee.
DL 395, 2015 Neil Ave.,
Ohio State University,
- Following the tradition in previous workshops in addition to
contributed papers there will be one or two invited talks and/or a panel
discusssion relevant to the theme of the workshop.
- Program committee members will be instructed to consider work-in-progress
papers with novel ideas and such papers are welcomed by the co-chairs.