Topics include classification, clustering, association analysis, prediction, and text and web mining. Data-mining related ethical issues will also be discussed.

Brief Description of Course Content Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to ...

Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete ...

(2) The clustering approach used, the fuzzy c-means algorithm (or fuzzy ISODATA), requires a starting classification that is refined by a least-squares criterion. The starting strategy used in the ...

(1) The application of hierarchical classification to ecological community data is examined, using a variety of classification techniques and test data sets. Problems discussed include: (a) the choice ...