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Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for Architecture, Design, and Implementation (The Morgan Kaufmann Series in Data Management Systems) Paperback – 7 Nov 2006

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Product details

  • Paperback: 544 pages
  • Publisher: Morgan Kaufmann (7 Nov. 2006)
  • Language: English
  • ISBN-10: 0123704529
  • ISBN-13: 978-0123704528
  • Product Dimensions: 19.5 x 3.1 x 24.1 cm
  • Average Customer Review: 1.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 1,871,930 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Review

"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, Marcad , 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

About the Author

Mark Hornick has lead the Java Data Mining (JSR-73) expert group since its inception in July of 2000, and now leads the JSR-247 expert group working towards JDM 2.0. Mr. Hornick brings nearly 20 years experience in the design and implementation of advanced distributed systems, including in-database data mining, distributed object management, and Java APIs. Mr. Hornick is a senior manager in Oracle's Data Mining Technologies group. Mr. Hornick joined Oracle through Oracle's acquisition of Thinking Machines Corporation in 1999. Prior to Thinking Machines, where he served as architect for TMC's next generation data mining software, Mr. Hornick was a Principal Investigator at GTE Laboratories, involved in advanced telecommunications network management software, distributed transaction management research, and distributed object management research. Mr. Hornick has contributed to several other data mining standards, including the Data Mining Group's PMML, ISO SQL/MM for Data Mining, and the Object Management Group's Common Warehouse Metadata. He has given talks at the International Conference on Knowledge Discovery and Databases, JavaOne, JavaPro Live! and The ServerSide Symposium on data mining standards and JDM. He has also published various papers and articles over his career. Mr. Hornick holds a bachelor degree from Rutgers University in Computer Science, and a masters degree from Brown University, also in Computer science where he specialized in distributed object databases.

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Most Helpful Customer Reviews

By Vincent Bezzina on 15 Feb. 2013
Format: Paperback Verified Purchase
Just a lot of empty words going on and on about how great data mining is. It ok for chapter one, but if you still going on about it by chapter six without getting down to actual working examples, than its really all a big waste of time.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 4 reviews
5 of 5 people found the following review helpful
An excellent book for data mining practitioners 20 Mar. 2007
By Sandro Saitta - Published on Amazon.com
Format: Paperback
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.
4 of 4 people found the following review helpful
Great Book! 10 April 2007
By Grant W. Cahill - Published on Amazon.com
Format: Paperback
This is a great book for those not familiar with Data Mining. I found it really useful to get up and running in Java Data Mining. The examples made a lot of sense and the text itself was really easy to read. The only thing I would add would be some more code examples. Other than that, this is a great introduction to the world of Data Mining with respect to Java.
2 of 2 people found the following review helpful
Nice data mining work 23 Jun. 2009
By David Loshin - Published on Amazon.com
Format: Paperback
As both an analyst and a practitioner in the business intelligence arena, I always like to see practical books that help bridge the gap between "executor" and "talking head." This book provides both the fundamentals of data mining and the basics for individuals to get their arms around the problem and try out different techniques without needing a PhD in statistics or computer science. If you are interested in learning about the java data mining standard, this is the book to read!
1 of 2 people found the following review helpful
Nice book 4 July 2007
By Neo - Published on Amazon.com
Format: Paperback Verified Purchase
It's a nice book but I feel that at some times it misses some details, still it's a great buy for people familiar with java.
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