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Java data mining [electronic resource] : strategy, standard, and practice : a practical guide for architecture, design, and implementation / Mark F. Hornick, Erik Marcad�e, Sunil Venkayala.

By: Hornick, Mark F.
Contributor(s): Marcad�e, Erik | Venkayala, Sunil.
Material type: TextTextSeries: Morgan Kaufmann series in data management systems: Publisher: Amsterdam ; Boston : Elsevier/Morgan Kaufmann, c2007Description: 1 online resource (xxiv, 520 p.) : ill.ISBN: 9780080495910 (electronic bk.); 0080495915 (electronic bk.).Subject(s): Data mining | Java (Computer program language) | Exploration de donn�ees (Informatique) | Java (Langage de programmation) | COMPUTERS -- Desktop Applications -- Databases | COMPUTERS -- Database Management -- General | COMPUTERS -- System Administration -- Storage & RetrievalGenre/Form: Electronic books.Additional physical formats: Print version:: Java data mining.DDC classification: 005.74 Online resources: EBSCOhost
Contents:
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.
Summary: 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.Summary: Source code referenced in the book available [a href= http://www.kxen.com/products/analytic_framework/kjdm.php]here[a].
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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].

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Java data mining by Hornick, Mark F. ©2007
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