Knowledge Discovery and Data Mining

Herausgeber: Bramer, M a

• Gebundenes Buch

Produktbeschreibung

This book reviews some of the underlying technologies and also some recent applications in a number of fields. In a world increasingly overloaded with data of varying quality, not least via the Internet, computerised tools are becoming useful to 'mine' useful data from the mass available.

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Produktdetails

• Verlag: Institution of Engineering & Technology
• Seitenzahl: 328
• Erscheinungstermin: 30. Juni 1999
• Englisch
• Abmessung: 240mm x 161mm x 22mm
• Gewicht: 665g
• ISBN-13: 9780852967676
• ISBN-10: 0852967675
• Artikelnr.: 50910081

Inhaltsangabe

* Part I: Knowledge discovery and data mining in theory
* Chapter 1: Estimating concept difficulty with cross entropy
* Chapter 2: Analysing outliers by searching for plausible hypotheses
* Chapter 3: Attribute-value distribution as a technique for increasing
the efficiency of data mining
* Chapter 4: Using background knowledge with attribute-oriented data
mining
* Chapter 5: A development framework for temporal data mining
* Chapter 6: An integrated architecture for OLAP and data mining
* Part II: Knowledge discovery and data mining in practice
* Chapter 7: Empirical studies of the knowledge discovery approach to
health-information analysis
* Chapter 8: Direct knowledge discovery and interpretation from a
multilayer perceptron network which performs low-back-pain
classification
* Chapter 9: Discovering knowledge from low-quality meteorological
databases
* Chapter 10: A meteorological knowledge-discovery environment
* Chapter 11: Mining the organic compound jungle - a functional
programming approach
* Chapter 12: Data mining with neural networks - an applied example in
understanding electricity consumption