Cover for Java Data Mining

Java Data Mining

Strategy, Standard, and Practice

A volume in The Morgan Kaufmann Series in Data Management Systems

Book2007

Authors:

Mark F. Hornick, Erik Marcadé and Sunil Venkayala

Java Data Mining

Strategy, Standard, and Practice

A volume in The Morgan Kaufmann Series in Data Management Systems

Book2007

 

Cover for Java Data Mining

Authors:

Mark F. Hornick, Erik Marcadé and Sunil Venkayala

About the book

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Book description

Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic app ... read full description

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  2. Book chapterNo access

    Further Reading

    Page 483

  3. Book chapterNo access

    Glossary

    Pages 485-498

  4. Book chapterNo access

    Index

    Pages 499-517

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    About the Authors

    Pages 519-520

About the book

Description

Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard.

Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard.

Key Features

  • Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems
  • JDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects
  • JDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API
  • Free, downloadable KJDM source code referenced in the book available here
  • Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems
  • JDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects
  • JDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API
  • Free, downloadable KJDM source code referenced in the book available here

Details

ISBN

978-0-12-370452-8

Language

English

Published

2007

Copyright

Copyright © 2007 Elsevier Inc. All rights reserved

Imprint

Morgan Kaufmann

Authors

Mark F. Hornick

Erik Marcadé

Sunil Venkayala