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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 Marcadé, Sunil Venkayala.

Book Cover
Main Author: Hornick, Mark F.
Other Names: Marcadé, Erik. | Venkayala, Sunil.
Published: Amsterdam ; Elsevier/Morgan Kaufmann, c2007.
Series: Morgan Kaufmann series in data management systems.
Topics: Data mining. | Java (Computer program language) | Exploration de données (Informatique) | Java (Langage de programmation) | Exploration de données (Informatique) | Java (Langage de programmation)
Genres: Electronic books.
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037 |a116801:116901|bElsevier Science & Technology|nhttp://www.sciencedirect.com
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100 1 |aHornick, Mark F.
245 10|aJava data mining|h[electronic resource] :|bstrategy, standard, and practice : a practical guide for architecture, design, and implementation /|cMark F. Hornick, Erik Marcadé, Sunil Venkayala.
260 |aAmsterdam ;|aBoston :|bElsevier/Morgan Kaufmann,|cc2007.
300 |a1 online resource (xxiv, 520 p.) :|bill.
490 1 |aThe Morgan Kaufmann series in data management systems
504 |aIncludes bibliographical references and index.
505 0 |aPreface -- 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 |aWhether 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>.
588 |aDescription based on print version record.
650 0|aData mining.
650 0|aJava (Computer program language)
650 6|aExploration de données (Informatique)
650 6|aJava (Langage de programmation)
650 7|aData mining.|2fast|0(OCoLC)fst00887946
650 7|aJava (Computer program language)|2fast|0(OCoLC)fst00982065
650 4|aExploration de données (Informatique)
650 4|aJava (Langage de programmation)
655 4|aElectronic books.
700 1 |aMarcadé, Erik.
700 1 |aVenkayala, Sunil.
776 08|iPrint version:|aHornick, Mark F.|tJava data mining.|dAmsterdam ; Boston : Elsevier/Morgan Kaufmann, c2007|z0123704529|z9780123704528|w(DLC) 2006050783|w(OCoLC)72161926
830 0|aMorgan Kaufmann series in data management systems.
852 0 |bEbook|hQA76.9.D343|iH67 2007eb|t1
856 40|uhttp://ezproxy.uis.edu:2048/login?url=http://www.sciencedirect.com/science/book/9780123704528
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Staff View for: Java data mining : strategy, standard, a