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

You looking to find the "Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation (The Morgan Kaufmann Series in Data Management Systems)" Good news! You can purchase Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation (The Morgan Kaufmann Series in Data Management Systems) with secure price and compare to view update price on this product. And deals on this product is available only for limited time.

   

Product 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 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 here


* 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 here

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

Java Data Mining is a book written for data mining practitioners. Even if the word Java appears in the title, practitioners of other languages or software may be interested by the first part of the book (Strategy), which is really worth reading. The other parts of the book focus on the JDM API itself (Standards), problem solving with case study (Practice) and finally evolution of standards in data mining (Wrapping Up).

Data mining is clearly defined and compared with other concepts such as OLAP. A very interesting comparison is made between data mining and gold mining. As written previously, this book is practitioner-oriented. Moreover, the focus is on data mining with customer related information. Another good thing is the data mining glossary at the end of the book which is welcomed.

References to Wikipedia are to my opinion not appropriate in a book. Recent improvements have made this encyclopedia more reliable. However, I would never use it as a serious reference since anybody can write articles on it. Strangely, a recurrent mistake regarding the word data (singular instead of plural) has been made. These drawbacks aren't significant in regard to the quality of the book. To conclude, data mining practitioners and people using Java for data mining should really consider this book.

Most of the consumer Reviews tell that the "Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation (The Morgan Kaufmann Series in Data Management Systems)" are high quality item. You can read each testimony from consumers to find out cons and pros from Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation (The Morgan Kaufmann Series in Data Management Systems) ...