Knowledge discovery and data mining

✍ Scribed by Bramer, Max A

Publisher: The Institution of Electrical Engineers
Year: 1999
Tongue: English
Leaves: 330
Series: IEE professional applications of computing series 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

✦ Table of Contents

Content: Knowledge discovery and data mining in theory / K. Nazar and M.A. Bramer --
Analysing outliers by searching for plausible hypotheses / X. Liu and G. Cheng --
Attribute-value distribution as a technique for increasing the efficiency of data mining / D. McSherry --
Using background knowledge with attribute-oriented data ming / M. Shapcott, S. McClean and B. Scotney --
Development framework for temporal data mining / X. Chen and I. Petrounias --
Integrated architecture for OLAP and data mining / Z. Chen --
Knowledge discovery and data mining in practice --
Empirical studies of the knowledge discovery approach to health-information analysis / M. Lloyd-Williams --
Direct knowledge discovery and interpretation from a multilayer perceptron network which performs low-back-pain classification / M.L. Vaughn [and others] --
Discovering knowledge from low-quality meteorological databases / C.M. Howard and V.J. Rayward-Smith --
Meteorological knowledge-discovery environment / A.G. Büchner [and others] --
MIning the organic compound jungle-a functional programming approach / K.E. Burn-Thornton and J. Bradshaw --
Data mining with neural networks-an applied example in understanding electricity consumption pattern / P. Brierley and B. Batty.

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