Knowledge Discovery and Measures of Interest
To develop the preliminary foundation for a theory of interestingness within the context of ranking summaries generated from databases. Knowledge Discovery and Measures of Interest is suitable as a secondary text in a graduate level course and as a reference for researchers and practitioners in indu...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
2001, 2001
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| Edition: | 1st ed. 2001 |
| Series: | The Springer International Series in Engineering and Computer Science
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction
- 2. Background and Related Work
- 3. A Data Mining Technique
- 4. Heuristic Measures of Interestingness
- 5. An Interestingness Framework
- 6. Experimental Analyses
- 7. Conclusion
- Appendices
- Comparison of Assigned Ranks
- Ranking Similarities
- Summary Complexity