東華大學圖書館 |

Java data mining = strategy, standard, and practice : a practical guide for architecture, design, and implementation /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Java data mining/ Mark F. Hornick, Erik Marcad�e, Sunil Venkayala.
其他題名:	strategy, standard, and practice : a practical guide for architecture, design, and implementation /
作者:	Hornick, Mark F.
其他作者:	Marcad�e, Erik.
出版者:	Amsterdam ;Elsevier/Morgan Kaufmann, : c2007.,
面頁冊數:	xxiv, 520 p. :ill. ;24 cm.
叢書名:	The Morgan Kaufmann series in data management systems
內容註:	Preface -- Guide to Readers -- Part I - Strategy -- 1. Overview of Data Mining -- 2. Solving Problems in Industry -- 3. Data Mining Process -- 4. Mining Functions and Algorithms -- 5. JDM Strategy -- 6. Getting Started -- Part II - Standard -- 7. Java Data Mining Concepts -- 8. Design of the JDM API -- 9. Using the JDM API -- 10. XML Schema -- 11. Web Services -- Part III - Practice -- 12. Practical Problem Solving -- 13. Building Data Mining Tools using JDM -- 14. Getting Started with JDM Web Services -- 15. Impacts on IT Infrastructure -- 16. Vendor implementations -- Part IV. Wrapping Up -- 17. Evolution of Data Mining Standards -- 18. Preview of Java Data Mining 2.0 -- 19. Summary -- A. Further Reading -- B. Glossary.
標題:	Data mining. -
電子資源:	http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780123704528An electronic book accessible through the World Wide Web; click for information
電子資源:	http://www.sciencedirect.com/science/book/9780123704528An electronic book accessible through the World Wide Web; click for information
電子資源:	http://www.loc.gov/catdir/enhancements/fy0668/2006050783-d.html
ISBN:	0123704529

Java data mining = strategy, standard, and practice : a practical guide for architecture, design, and implementation /
Hornick, Mark F.

Java data miningstrategy, standard, and practice : a practical guide for architecture, design, and implementation /[electronic resource] :Mark F. Hornick, Erik Marcad�e, Sunil Venkayala. - Amsterdam ;Elsevier/Morgan Kaufmann,c2007. - xxiv, 520 p. :ill. ;24 cm. - The Morgan Kaufmann series in data management systems.

Includes bibliographical references and index.

Preface -- Guide to Readers -- Part I - Strategy -- 1. Overview of Data Mining -- 2. Solving Problems in Industry -- 3. Data Mining Process -- 4. Mining Functions and Algorithms -- 5. JDM Strategy -- 6. Getting Started -- Part II - Standard -- 7. Java Data Mining Concepts -- 8. Design of the JDM API -- 9. Using the JDM API -- 10. XML Schema -- 11. Web Services -- Part III - Practice -- 12. Practical Problem Solving -- 13. Building Data Mining Tools using JDM -- 14. Getting Started with JDM Web Services -- 15. Impacts on IT Infrastructure -- 16. Vendor implementations -- Part IV. Wrapping Up -- 17. Evolution of Data Mining Standards -- 18. Preview of Java Data Mining 2.0 -- 19. Summary -- A. Further Reading -- B. Glossary.

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 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 <a href= http://www.kxen.com/products/analytic_framework/kjdm.php>here<a> * 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. * Free, downloadable KJDM source code referenced in the book available <a href= http://www.kxen.com/products/analytic_framework/kjdm.php>here<a>.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 0123704529

Source: 116801:116901Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

562972
Data mining.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA76.9.D343 / H67 2007eb

Dewey Class. No.: 005.74

Java data mining = strategy, standard, and practice : a practical guide for architecture, design, and implementation /
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300 $a xxiv, 520 p. : $b ill. ; $c 24 cm.
440 4 $a The Morgan Kaufmann series in data management systems
504 $a Includes bibliographical references and index.
505 0 $a Preface -- Guide to Readers -- Part I - Strategy -- 1. Overview of Data Mining -- 2. Solving Problems in Industry -- 3. Data Mining Process -- 4. Mining Functions and Algorithms -- 5. JDM Strategy -- 6. Getting Started -- Part II - Standard -- 7. Java Data Mining Concepts -- 8. Design of the JDM API -- 9. Using the JDM API -- 10. XML Schema -- 11. Web Services -- Part III - Practice -- 12. Practical Problem Solving -- 13. Building Data Mining Tools using JDM -- 14. Getting Started with JDM Web Services -- 15. Impacts on IT Infrastructure -- 16. Vendor implementations -- Part IV. Wrapping Up -- 17. Evolution of Data Mining Standards -- 18. Preview of Java Data Mining 2.0 -- 19. Summary -- A. Further Reading -- B. Glossary.
520 $a 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 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 <a href= http://www.kxen.com/products/analytic_framework/kjdm.php>here<a> * 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. * Free, downloadable KJDM source code referenced in the book available <a href= http://www.kxen.com/products/analytic_framework/kjdm.php>here<a>.
533 $a Electronic reproduction. $b Amsterdam : $c Elsevier Science & Technology, $d 2007. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Title from title screen (viewed on Aug. 2, 2007). $n Access may be restricted to users at subscribing institutions.
650 0 $a Data mining. $3 562972
650 0 $a Java (Computer program language) $3 522522
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650 6 $a Java (Langage de programmation) $3 815961
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700 1 $a Marcad�e, Erik. $3 1000511
700 1 $a Venkayala, Sunil. $3 1000512
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856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780123704528 $z An electronic book accessible through the World Wide Web; click for information
856 4 2 $3 Publisher description $u http://www.loc.gov/catdir/enhancements/fy0668/2006050783-d.html
994 $a C0 $b TEF