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Java Data Mining: Strategy, Standard, and Practice

Language EnglishEnglish
Book Paperback
Book Java Data Mining: Strategy, Standard, and Practice Mark F. Hornick
Libristo code: 04493775
Publishers Morgan Kaufmann Publishers, November 2006
Whether you are a software developer, systems architect, data analyst, or business analyst, if you w... Full description
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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. The book discusses and illustrates how to solve real problems using the JDM API. The authors provide you with: 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; and, a how-to guide for building applications that use the JDM API. Free, downloadable KJDM source code referenced in the book is available.

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About the book

Full name Java Data Mining: Strategy, Standard, and Practice
Author Mark F. Hornick, Erik Marcade, Sunil Venkayala
Language English
Binding Book - Paperback
Date of issue 2006
Number of pages 544
EAN 9780123704528
ISBN 0123704529
Libristo code 04493775
Publishers Morgan Kaufmann Publishers
Weight 930
Dimensions 189 x 235 x 25

Categories

Computing & Information Technology > Computer programming / software engineering > Web programming
Computing & Information Technology > Computer programming / software engineering > Programming & scripting languages: general
Computing & Information Technology > Databases
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