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Description:
Topics related to the design, analysis and implementation of data mining theory,
systems and applications are of interest. These include, but are not limited to the
following areas:
Foundations and principles of data mining; Data mining algorithms and methods in traditional areas (such as classification, clustering, probabilistic modeling, and association analysis), and in new areas; Data and knowledge representation for data mining; Modeling of structured, textual, temporal, spatial, multimedia and Web data to support data mining; Complexity, efficiency, and scalability issues in data mining; Data pre-processing, data reduction, feature selection and feature transformation; Statistics and probability in large-scale data mining; Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining; Integration of data warehousing, OLAP and data mining; Man-machine interaction in data mining and visual data mining; Artificial intelligence contributions to data mining; High performance and distributed data mining; Machine learning, pattern recognition and automated scientific discovery; Quality assessment and interestingness metrics of data mining results; Process centric data mining and models of data mining process; Security and social impact of data mining; Emerging data mining applications, such as electronic commerce, bioinformatics, Web mining and intelligent learning database systems.
Date received: November 15, 2001
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