eBook: Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for Architecture, Design, and Implementation (DRM PDF)
 
電子書格式: DRM PDF
作者: Mark F. Hornick, Erik Marcade, Sunil Venkayala 
系列: The Morgan Kaufmann Series in Data Management Syst
分類: Library, archive & information management ,
Web programming ,
Databases  
書城編號: 20148274


售價: $520.00

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製造商: Elsevier Science
出版日期: 2010/07/26
頁數: 544
ISBN: 9780080495910
 
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商品簡介
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 problemsJDM 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 objectsJDM 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 APIFree, downloadable KJDM source code referenced in the book available here
The Morgan Kaufmann Series in Data Management Syst

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