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Java data mining : strategy, standar...
~
Hornick, Mark F.
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 : 單行本
副題名:
strategy, standard, and practice : a practical guide for architecture, design, and implementation
作者:
HornickMark F.,
合作者:
Marcad歋Erik.,
合作者:
VenkayalaSunil.,
其他團體作者:
ScienceDirect (Online service)
出版地:
Amsterdam
出版者:
Elsevier/Morgan Kaufmann;
出版年:
c2007.
面頁冊數:
xxiv, 520 p.ill. : 24 cm.;
集叢名:
The Morgan Kaufmann series in data management systems
標題:
Exploration de donn歋es (Informatique) -
標題:
Java (Langage de programmation) -
標題:
Data mining. -
標題:
Java (Computer program language) -
標題:
Electronic books. -
電子資源:
http://www.loc.gov/catdir/enhancements/fy0668/2006050783-d.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy0668/2006050783-d.html
電子資源:
http://www.loc.gov/catdir/enhancements/fy0668/2006050783-d.html
附註:
Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2007.
摘要註:
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
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. * Free, downloadable KJDM source code referenced in the book available
here
.
ISBN:
0123704529
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.
Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation
Hornick, Mark F.
Java data mining
: strategy, standard, and practice : a practical guide for architecture, design, and implementation / Mark F. Hornick, Erik Marcad歋, Sunil Venkayala. - Amsterdam : Elsevier/Morgan Kaufmann, c2007.. - xxiv, 520 p. ; ill. ; 24 cm.. - (The Morgan Kaufmann series in data management systems).
Preface.
Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2007..
Includes bibliographical references and index..
ISBN 0123704529ISBN 9780123704528
Exploration de donn歋es (Informatique)Java (Langage de programmation)Data mining.Java (Computer program language)Electronic books.
Marcad歋, Erik.
Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation
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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 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>.
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