Knowledge discovery and data mining / edited by M.A. Bramer.

Pt. I. Knowledge Discovery and Data Mining in Theory. 1. Estimating concept difficulty with cross entropy / K. Nazar and M. A. Bramer. 2. Analysing outliers by searching for plausible hypotheses / X. Liu and G. Cheng. 3. Attribute-value distribution as a technique for increasing the efficiency of data mining / D. McSherry. 4. Using background knowledge with attribute-oriented data mining / M. Shapcott, S. McClean and B. Scotney. 5. A development framework for temporal data mining / X. Chen and I. Petrounias. 6. An integrated architecture for OLAP and data mining / Z. Chen -- Pt. II. Knowledge Discovery and Data Mining in Practice. 7. Empirical studies of the knowledge discovery approach to health-information analysis / M. Lloyd-Williams. 8. Direct knowledge discovery and interpretation from a multilayer perceptron network which performs low-back-pain classification / M. L. Vaughn, S. J. Cavill and S. J. Taylor / [et al.].

9. Discovering knowledge from low-quality meteorological databases / C. M. Howard and V. J. Rayward-Smith. 10. A meteorological knowledge-discovery environment / A. G. Buchner, J. C. L. Chan and S. L. Hung / [et al.]. 11. Mining the organic compound jungle - a functional programming approach / K. E. Burn-Thornton and J. Bradshaw. 12. Data mining with neural networks - an applied example in understanding electricity consumption patterns / P. Brierley and B. Batty.