* performance analysis of KD/DM algorithms (efficiency, scalability,
reliability, etc.)
* the use of optimization methods in KD/DM
* comparative studies of KD/DM versus other exploratory data analysis
methods, including
traditional statistical and mathematical programming models
* analysis of context-specific KD/DM methods
* neural networks in KD/DM
* performance analysis of uncertainty management methods in KD/DM
* analysis of KD/DM algorithms in large-scale, distributed and/or
heterogeneous database systems
* efficiency and scalability analysis of KD/DM algorithms for specialized
databases
(spatial, temporal, multimedia, statistical, etc.)
* analysis of data mining methods on confidential data
* efficient data preprocessing methods (e.g., scrubbing, sampling and
reduction) for data mining
* performance of KD/DM methods on multidimensional data
Deadline: July 31, 1997.
Four (4) copies of each manuscript should be submitted to Professor Amit
Basu, the Area Editor for Knowledge and Data Management, at the following
address:
Owen Graduate School of Management
Vanderbilt University
Nashville, TN 37203
TEL: 615-322-7043
FAX: 615-343-7177
email: basua@ctrvax.vanderbilt.edu
Manuscripts should be prepared according to JoC guidelines. For more
information, please contact Professor Basu, or the Editor-in-Chief of JoC,
Professor Bruce Golden, who can be reached at the address below:
College of Business and Management
University of Maryland
College Park, MD 20742
TEL: 301-405-2232
FAX: 301-314-9157
email: bgolden@umdacc.umd.edu
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