2005 IEEE-ICDM Workshop on
MultiAgent Data Warehousing and MultiAgent Data Mining
http://tinman.cs.gsu.edu/~cscyntx/ ICDM-MADW-MADM2005.htm
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Important Dates: |
Submission:
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Acceptance: Oct. 1, 2005 |
Final camera ready: Oct. 15, 2005 |
Submission deadline extended to Sept. 20!
Call for Papers (closed)
2005 IEEE-ICDM
Workshop on MultiAgent Data Warehousing
and MultiAgent Data Mining (MADW-MADM2005) in
conjunction with the 2005 IEEE International Conference on Data Mining (http://www.cacs.louisiana.edu/~icdm05/) is
to bring together researchers from diverse areas including
data mining, data warehousing, multiagent systems, artificial intelligence,
computational intelligence, machine learning, neuroscience, robot control, and
other related areas to layout the foundation for MADW and MADM. Submissions are
solicited from both academia and industries.
Biological systems such as brains have enormous
capabilities in information processing and coordinated knowledge discovery. One
challenging issue facing data mining and knowledge discovery today is
understanding how the enormous amount of radio, audio, spacio-temporal, and
bioinformation is processed by the massive number of neural agents of a brain
system and how multiple agents can be coordinated for information processing
and knowledge discovery at the neural or system levels.
MADM is evidently a key concept in coordinated
explorative knowledge discovery. Likewise, MADW is a necessity when a massive
number of autonomous and semi-autonomous agents/miners are involved, especially
when orthogonal MADW is feasible with neural-fuzzy-genetic agents in uncertain
high-dimensional explorative learning or mining spaces. It is expected that
MADW, MADM, and the interplay between the two will be inevitable in the
foreseeable future.
Please email your paper (a pdf file) to any co-chair
of the workshop. Workshop papers should be prepared in the same format as ICDM
conference papers (see more at http://www.cacs.louisiana.edu/~icdm05/).
Simultaneous submission to other workshops and conferences are not
allowed.
Technical issues include (but not limited to)
(1)
Necessity,
applicability, and feasibility analysis for MADW and MADM in different domains;
(2)
Coordinated
computational intelligence (CCI) and distributed artificial intelligence (DAI)
in MADW and MADM;
(3)
Algorithms and
methods for MADM and MADW;
(4)
Agent association
vs. multirelational association;
(5)
Schemas and
architectures of MADW;
(6)
Query languages
for OLAP and OLAM with MADW and MADM;
(7)
Mining agent
association rules in first-order predicate calculus;
(8)
Coordination
protocols for collaborative knowledge discovery with MADW/MADM;
(9)
Agent discovery,
law discovery, self-organization, and reorganization in MADW and MADM;
(10)
Full
autonomy as a result of coordination of semiautonomous agents;
(11)
Reinforced
knowledge discovery with the interplay of MADW and MADM;
(12)
Agent similarity
and orthogonal MADW;
(13)
MADW and MADM for
brain modeling;
(14)
MADW and MADM for
applications in security, bioinformatics, biomedicine, semantic Web,
e-Business, Web service, Web mining, grids, wireless networks, mobile networks,
Ad hoc networks, sensor networks, flexible engineering, robot control, and
other suitable domains.
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Honorary Chair M. N. Huhns, University of South Carolina, USA
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Program
Committee Co-Chairs
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Wen-Ran Zhang |
Yan-Qing Zhang |
Xiaohua Tony Hu |
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Publicity Chair
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Program Committee (incomplete) |
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Ajith Abraham
(
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