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| Material Type: | Internet resource |
|---|---|
| Document Type: | Book, Internet Resource |
| All Authors / Contributors: |
Mark F Hornick; Erik Marcadé; Sunil Venkayala |
| ISBN: | 9780123704528 0123704529 |
| OCLC Number: | 636987095 |
| Description: | 520 p. |
| 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 |
| Series Title: | The Morgan Kaufmann series in data management systems |
| Responsibility: | Mark F. Hornick, Erik Marcadé, SUnil Venkayala. |
Reviews
Publisher Synopsis
"This is not only a great introduction to JDM, but also a great introduction for a practitioner to data mining in general. This is a "must-have" for anyone developing large-scale data mining applications in Java." --Robert Grossman, Open Data Group and University of Illinois at Chicago "It pleases me that the Java Community ProcessSM(JCPSM) Program could host the development of the Data Mining standard, JSR 73, whose evolution and usability are presented so compellingly in Java Data Mining: Standard, Strategy, and Practice. The authors have taken a unique approach to describing a broad range of aspects from strategies to problem solving with data mining technology in a variety of industries. The book is a "must-read" for those who want to introduce themselves to Java data mining (JDM) and fully realize the strategic importance of this technology in an ever competitive environment." --Onno Kluyt, senior director, JCP Program at Sun Microsystems, Inc., and chair of the JCP "Java is now ubiquitous and over the past few years the Java world has shifted focus on--among other things--new frameworks, such as the Java Data Mining (JDM) framework. JDM addresses a clear need for standardization in data mining operations, yet to those approaching both Java and data mining the mountain seems as Everest. Hornick, Marcade, and Venkayala could not have written this book at a better time. To the expert it is reference and map of the landscape, and to the novice it will be a constant guide and companion to each journey in JDM. This book is approachable, usable, practical, and necessary for any Java data mining software architect, developer, or analyst." -Frank Byrum, Chief Scientist, CorMine Intelligent Data, LLC Read more...
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Similar Items
Related Subjects:(11)
- Data mining.
- Java (Computer program language)
- DATA MINING (MATHEMATISCHE STATISTIK)
- JAVA (PROGRAMMIERSPRACHEN)
- FACHLICHE NACHSCHLAGEWERKE + FACHLEXIKA + HANDBÜCHER (DOKUMENTENTYP)
- DATA MINING (MATHEMATICAL STATISTICS)
- DATA MINING (STATISTIQUE MATHÉMATIQUE)
- JAVA (PROGRAMMING LANGUAGES)
- JAVA (LANGAGE DE PROGRAMMATION)
- OUVRAGES DE RÉFÉRENCE SPÉCIALISÉS + ENCYCLOPÉDIES SPÉCIALISÉES + MANUELS (TYPE DE DOCUMENT)
- SPECIALIZED REFERENCE WORKS + SPECIALIZED ENCYCLOPAEDIAS + HANDBOOKS (DOCUMENT TYPE)
