Knowledge Discovery in Multiple Databases
$308.07
- Paperback
233 pages
- Release Date
4 October 2012
Summary
Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including …
Book Details
| ISBN-13: | 9781447110507 |
|---|---|
| ISBN-10: | 1447110501 |
| Author: | Shichao Zhang, Chengqi Zhang, Xindong Wu |
| Publisher: | Springer London Ltd |
| Imprint: | Springer London Ltd |
| Format: | Paperback |
| Number of Pages: | 233 |
| Release Date: | 4 October 2012 |
| Weight: | 385g |
| Dimensions: | 235mm x 155mm |
| Series: | Advanced Information and Knowledge Processing |
What They're Saying
Critics Review
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)
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