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Advances in knowledge discovery and data mining

By: Material type: TextTextPublication 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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Item type Current library Call number Status Barcode
Monograph CARICOM Documentation Centre LRC 18.01.01 A244 (Browse shelf(Opens below)) Available 0000000017996

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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