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Java Data Mining
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The authors give you: * Data mining introductory overview of data-mining and the problems that can cope with the industry; JDM place in strategic solutions to data problems associated with mining; * JDM important-concepts, design approach and design issues, with detailed code examples in Java, a Web Services interface to enable JDM functionality in a SOA environment, and illustration of JDM XML Schema for JDM objects; JDM * used in the practice of JDM from vendor implementations and approaches to customer applications, integration, and use, the impact of data mining on IT infrastructure, a how-to guide for building applications that use the JDM API. * Free, download the source code KJDM referenced in this book are available here * Data mining introductory overview of data-mining and the problems that can cope with the industry; JDM place in strategic solutions to data problems associated with mining; * JDM important-concepts, design approach and design issues, with detailed code examples in Java, a Web Services interface to enable JDM functionality in a SOA environment, and illustration of JDM XML Schema for JDM objects; JDM * used in the practice of JDM from vendor implementations and approaches to customer applications, integration, and use, the impact of data mining on IT infrastructure, a how-to guide for building applications that use the JDM API.
Computer eBook Details
- ISBN-10: 0123704529
- ISBN-13: 9780123704528
- Publisher: Morgan Kaufmann
- Pages: 544
- Date: November 2006
- Series: The Morgan Kaufmann Series in Data Management Systems