Knowledge Discovery in Multiple Databases / Edition 1
by Shichao Zhang, Xindong Wu, Chengqi ZhangKnowledge 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. See more details below
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.
Product Details
- ISBN-13:
- 9781852337032
- Publisher:
- Springer London
- Publication date:
- 07/28/2004
- Series:
- Advanced Information and Knowledge Processing Series
- Edition description:
- 2004
- Pages:
- 233
- Product dimensions:
- 9.21(w) x 6.14(h) x 0.63(d)
Table of Contents
| 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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