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Advances in knowledge discovery and data mining

By:

Fayyad, Usama M...[et al.] eds

Material type: Text

TextPublication details: American Association for Artificial Intelligence / Massachusetts Institute of Technology Menlo ParkUS 1996Description: [2], xiv, 611pAction note:

1/2/02 TESSA_H

Summary: Examines and describes techniques and tools for transforming data into useful knowledge. Deals with fundamental issues of discovery; examines specific techniques for data mining including clustering and classification; presents methods for dealing with trend and deviation analysis; focuses on data mining techniques for deriving dependencies; and discusses integrated discovery systems. Presents approaches for next-generation database systems; and several real and successful applications.

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Examines and describes techniques and tools for transforming data into useful knowledge. Deals with fundamental issues of discovery; examines specific techniques for data mining including clustering and classification; presents methods for dealing with trend and deviation analysis; focuses on data mining techniques for deriving dependencies; and discusses integrated discovery systems. Presents approaches for next-generation database systems; and several real and successful applications.

1/2/02 TESSA_H

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