Knowledge Discovery in Multiple Databases

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Overview

Knowledge Discovery in Multiple Databases is suitable for researchers, professionals and students in data mining, distributed data analysis, and machine learning, who are interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might involve knowledge discovery in databases and data mining.

Editorial Reviews

From the Publisher

From the reviews:

"The book contains the latest on research in database multi-mining (32 papers published after 2000) and offers for consideration a local-pattern analysis framework for pattern discovery from multiple data sources. Starting from the local pattern in multiple data bases, the authors propose … a new pattern named ‘high-vote’ pattern based on statistical analysis of vote ratio received by a pattern from each branch of the company." (Silviu Craciunas, Zentralblatt MATH, Vol. 1067, 2005)

Product Details

ISBN-13: 9781852337032
Publisher: Springer London
Publication date: 7/28/2004
Series: Advanced Information and Knowledge Processing Series
Edition description: 2004
Edition number: 1
Pages: 233
Product dimensions: 9.21 (w) x 6.14 (h) x 0.63 (d)

1	Importance of multi-database mining	1
2	Data mining and multi-database mining	27
3	Local pattern analysis	63
4	Identifying quality knowledge	75
5	Database clustering	103
6	Dealing with inconsistency	137
7	Identifying high-vote patterns	157
8	Identifying exceptional patterns	185
9	Synthesizing local patterns by weighting	197
10	Conclusions and future work	215

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Knowledge Discovery in Multiple Databases / Edition 1