Hornick M.F., Marcadé E., Venkayala S. — Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation
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Название: Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation
Авторы: Hornick M.F., Marcadé E., Venkayala S.
Аннотация:
The book discusses and illustrates how to solve real problems using the JDM API. The authors provide you with:
* Data mining introductionan overview of data mining and the problems it can address across industries; JDMs place in strategic solutions to data mining-related problems;
* JDM essentialsconcepts, 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 practicethe 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 introductionan overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems;
* JDM essentialsconcepts, 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 practicethe 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.