Java Data Mining 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Java Data Mining

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Mark F. Hornick 作者
Morgan Kaufmann
譯者
2006-11-21 出版日期
544 頁數
CAD 67.50 價格
Paperback
叢書系列
9780123704528 圖書編碼

Java Data Mining 在線電子書 圖書標籤: 數據挖掘  datamining  計算機技術  java  Java   


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Java Data Mining 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Java Data Mining 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Java Data Mining 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Java Data Mining 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Java Data Mining 在線電子書 圖書描述

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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. The book discusses and illustrates how to solve real problems using the JDM API. The authors provide you with: * 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

* 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

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