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Data Mining and Uncertain Reasoning

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Data Mining and Uncertain Reasoning

An Integrated Approach

Format

Hardback

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Data Mining and Uncertain Reasoning by Zhengxin Chen
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Description

An expert guide for applying data mining with uncertain reasoning to a wide range of uses This volume presents a holistic view of data mining by integrating this diverse and exciting field with uncertain reasoning. It treats a wide range of issues and examines the state of the art in both fields while summarizing vital concepts that can normally only be found in various separate resources. The author concentrates on practical aspects of data mining-such as infrastructure and overall processes-but also discusses some selected algorithms and performance-related issues. Several important topics are addressed specifically, such as bridging the fields of machine learning and data mining and the discovery of influential association rules. In addition, the author discusses data warehousing as an enabling technique for data mining. Case studies are included throughout to illustrate important concepts. Data Mining and Uncertain Reasoning is a practical reference for practitioners in various interrelated fields. Each subject is treated with both basic introductory and advanced technical descriptions, making the book suitable for students and practitioners at various levels of experience.

Author Biography

ZHENGXIN CHEN is Professor in the Department of Computer Science at the University of Nebraska.
Release date NZ
October 5th, 2001
Author
Country of Publication
United States
Illustrations
Ill.
Imprint
John Wiley & Sons Inc
Pages
392
Dimensions
162x243x23
ISBN-13
9780471388784
Product ID
3088695

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