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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Java data mining/ Mark F. Hornick, Erik Marcad�e, Sunil Venkayala.
Reminder of title:	strategy, standard, and practice : a practical guide for architecture, design, and implementation /
Author:	Hornick, Mark F.
other author:	Venkayala, Sunil.
Published:	Amsterdam ;Elsevier/Morgan Kaufmann, : c2007.,
Description:	xxiv, 520 p. :ill. ; : 24 cm.;
Series:	The Morgan Kaufmann series in data management systems
Subject:	Java (Langage de programmation) -
Online resource:	An electronic book accessible through the World Wide Web; click for information
Online resource:	An electronic book accessible through the World Wide Web; click for information
Online resource:	http://www.loc.gov/catdir/enhancements/fy0668/2006050783-d.html
ISBN:	9780123704528

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: 9780123704528

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

655248
Java (Langage de programmation)
Index Terms--Genre/Form:

554714
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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245 1 0 $a Java data mining $h [electronic resource] : $b strategy, standard, and practice : a practical guide for architecture, design, and implementation / $c Mark F. Hornick, Erik Marcad�e, Sunil Venkayala.
260 $a Amsterdam ; $a Boston : $c c2007. $b Elsevier/Morgan Kaufmann,
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 6 $a Java (Langage de programmation) $3 655248
650 6 $a Exploration de donn�ees (Informatique) $3 655247
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650 0 $a Data mining. $3 528622
655 7 $a Electronic books. $2 local $3 554714
700 1 $a Venkayala, Sunil. $3 655250
700 1 $a Marcad�e, Erik. $3 655249
710 2 $a ScienceDirect (Online service) $3 636041
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856 4 0 $3 Referex $u http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=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