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Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementationJava Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementationMark F. Hornick, Erik Marcadé, Sunil VenkayalaThe 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.
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