Java Data Mining

Strategy, Standard, and Practice - A Practical Guide for architecture, design, and implementation

Mark F. Hornick, Erik Marcadé, Sunil Venkayala - Collection Data Management Systems

540 pages, parution le 18/12/2006

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Résumé

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 introduction-an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems;
JDM essentials-concepts, 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 practice-the 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

Sommaire

Part I - Strategy
- Overview of Data Mining
- Solving Problems in Industry
- Data Mining Process
- Mining Functions and Algorithms
- JDM Strategy
- Getting Started
Part II - Standard
- Java Data Mining Concepts
- Design of the JDM API
- Using the JDM API
- XML Schema
- Web Services
Part III - Practice
- Building Data Mining Tools using JDM
- Getting Started with JDM Web Services
- Impacts on IT Infrastructure
- Vendor implementations
Part IV - Wrapping Up
- Evolution of Data Mining Standards
- Preview of Java Data Mining 2.0
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Caractéristiques techniques

	PAPIER
Éditeur(s)	Morgan Kaufmann
Auteur(s)	Mark F. Hornick, Erik Marcadé, Sunil Venkayala
Collection	Data Management Systems
Parution	18/12/2006
Nb. de pages	540
Format	19 x 23
Couverture	Broché
Poids	925g
Intérieur	Noir et Blanc
EAN13	9780123704528