Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation (The Morgan Kaufmann Series in Data Management Systems)

Description

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

http://mihd.net/oma3ni

http://rapidshare.com/files/51870444/MK_.Java.Data.Mining._2006_.BBL._0123704529_.7z

http://rapidshare.com/files/51864689/Morgan.Kaufmann.Java.Data.Mining.Nov.2006.eBook-BBL.rar

$$ Buy "Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation (The Morgan Kaufmann Series in Data Management Systems)" on Amazon $$

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation (The Morgan Kaufmann Series in Data Management Systems)" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 1243
2. Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation
3. Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation
4. Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation
5. Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation
6. Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and
7. SQL: Practical Guide for Developers (The Morgan Kaufmann Series in Data Management Systems)
8. Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management
9. Data Modeling Essentials, Third Edition (Morgan Kaufmann Series in Data Management Systems)
10. Location-Based Services (Morgan Kaufmann Series in Data Management Systems)
11. Database Modeling and Design: Logical Design, 4th Edition (The Morgan Kaufmann Series in Data Management Systems)
12. [share_ebook] Distributed Algorithms (The Morgan Kaufmann Series in Data Management Systems)
13. SQL : Practical Guide for Developers (The Morgan Kaufmann Series in Data Managem
14. Data Modeling Essentials, Third Edition (Morgan Kaufmann Series in Data Manageme
15. Joe Celko's SQL Programming Style (The Morgan Kaufmann Series in Data Management Systems)
16. Principles of Transaction Processing (The Morgan Kaufmann Series in Data Management Systems)