Data Mining and Warehousing

Akshaya Kumar Nayak and Avinash Chiranjeev

Published by Jnanada Prakashan, 2011

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Contents Foreword 1 Introduction 2 Discovering hidden value in the data warehouse 3 Data mining techniques 4 What is data warehousing 5 Data warehouse appliances 6 Data warehouse concepts 7 Applications of data mining and data warehousing 8 Benefits of data warehousing 9 Further applications of data mining 10 Quantitative structure activity relationship 11 Data mining methods 12 Glossary of data mining terms Bibliography Index "Data Mining and Data Warehousing techniques are becoming indispensable parts of business intelligence programmes Use these links to learn more about these emerging fields and keep on top this trend Data mining is the process of extracting patterns from data Data mining is becoming an increasingly important tool to transform this data into information It is commonly used in a wide range of profiling practices such as marketing surveillance fraud detection and scientific discoveryData mining can be used to uncover patterns in data but is often carried out only on samples of data The mining process will be ineffective if the samples are not a good representation of the larger body of data Data mining cannot discover patterns that may be present in the larger body of data if those patterns are not present in the sample being mined Inability to find patterns may become a cause for some disputes between customers and service provides Therefore data mining is not foolproof but may be useful if sufficiently representative data samples are collected The discovery of a particular pattern in a particular set of data does not necessarily mean that a pattern is found elsewhere in the larger data from which that sample was drawn An important part of the process is the verification and validation of patterns on other samples of dataThe related terms data dredging data fishing and data snooping refer to the use of data mining techniques to sample sizes that are or may be too small for statistical inferences to be made about the validity of any patterns discovered Data dredging may however be used to develop new hypotheses which must then be validated with sufficiently large sample sets This book will be of immense help to all those contemplating to acquire expert knowledge of Data Mining and Data Warehousing" jacket 270 pp.

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Bibliographic Details

• Title: Data Mining and Warehousing
• Publisher: Jnanada Prakashan
• Publication Date: 2011
• Binding: Hardcover
• Dust Jacket Condition: Dust Jacket Included