Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation

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

Download (4 Mb):
Code:

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