Java Data Mining: Strategy, Standard, and Practice (Enhanced Edition) Java Data Mining: Strategy, Standard, and Practice (Enhanced Edition)
The Morgan Kaufmann Series in Data Management Systems

Java Data Mining: Strategy, Standard, and Practice (Enhanced Edition‪)‬

A Practical Guide for Architecture, Design, and Implementation

Mark F. Hornick and Others
    • $72.99
    • $72.99

Publisher 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. 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

GENRE
Computing & Internet
RELEASED
2010
26 July
LANGUAGE
EN
English
LENGTH
544
Pages
PUBLISHER
Elsevier Science
SELLER
Elsevier Ltd.
SIZE
5.3
MB

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