Science watch by knowledge discovery in bibliographic databases
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
Survey of Spatio-Temporal Databases
Geoinformatica
DVIZ: A System for Visualizing Data Mining
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Toward supporting real-time mining for data residing on enterprise systems
Expert Systems with Applications: An International Journal
Discretization of time series dataset using relative frequency and K-nearest neighbor approach
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
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Data mining, or knowledge discovery in databases, has been popularly recognized as an important research issue with broad applications. We provide a comprehensive survey, in database perspective, on the data mining techniques developed recently. Several major kinds of data mining methods, including generalization, characterization, classification, clustering, association, evolution, pattern matching, data visualization, and meta-rule guided mining, will be reviewed. Techniques for mining knowledge in different kinds of databases, including relational, transaction, object-oriented, spatial, and active databases, as well as global information systems, will be examined. Potential data mining applications and some research issues will also be discussed.