Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining
Author: Usama M. Fayyad
Publisher:
Total Pages: 638
Release: 1996
Genre: Computers
ISBN:


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Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.


Advances in Knowledge Discovery and Data Mining
Language: en
Pages: 638
Authors: Usama M. Fayyad
Categories: Computers
Type: BOOK - Published: 1996 - Publisher:

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Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation,
Advances in Knowledge Discovery and Data Mining
Language: en
Pages: 575
Authors: Qiang Yang
Categories: Computers
Type: BOOK - Published: 2019-04-03 - Publisher: Springer

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The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and
Advances in Knowledge Discovery and Data Mining
Language: en
Pages: 588
Authors: Joshua Zhexue Huang
Categories: Computers
Type: BOOK - Published: 2011-05-27 - Publisher: Springer

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The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 201
Data Mining and Knowledge Discovery for Process Monitoring and Control
Language: en
Pages: 263
Authors: Xue Z. Wang
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretatio
Advances in Machine Learning and Data Mining for Astronomy
Language: en
Pages: 744
Authors: Michael J. Way
Categories: Computers
Type: BOOK - Published: 2012-03-29 - Publisher: CRC Press

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Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomer