Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) 0th Edition

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ISBN-13: 978-1584888321
ISBN-10: 1584888326
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Editorial Reviews

Review

… One of this book’s attractive features is that every chapter contains a discussion relating to the algorithmic issues. One scenario is used as a running illustrative example throughout the book. Several other examples are discussed in different chapters. These examples should help the reader understand the advantages as well as the practical problems associated with any of the proposed matrix-based data mining techniques covered in the book. I recommend this book for anyone interested in using matrix methods for data mining.
Technometrics, February 2009, Vol. 51, No. 1

This could be a nice companion book for courses in data mining or applied linear algebra. Producing a clear taxonomy of the use and intentions of matrix decompositions in data analysis is very useful to both students and researchers. … Those working with large-scale complex datasets will definitely find this work useful. … I would definitely use it in my own course in data mining.
—Michael W. Berry, University of Tennessee, Knoxville, USA

[This book] is suffused with insightful suggestions for analytical methods and interpretations, drawn from the author's own research and his reading of the literature. …The book has two great strengths. The first is its attempt to provide a unifying framework from which to view a host of important analytical methodologies based on matrix methods. … Second, the book is extremely strong on interpreting the results of matrix methods. … [It] assembles and explains a diverse set of insights that are otherwise widely scattered in the literature. This alone makes the book an important contribution to the community.
—Bruce Hendrickson, Sandia National Laboratories, Albuquerque, New Mexico, USA

About the Author

Queen's University, Kingston, Ontario, Canada
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Product Details

  • Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
  • Hardcover: 260 pages
  • Publisher: Chapman and Hall/CRC (May 17, 2007)
  • Language: English
  • ISBN-10: 1584888326
  • ISBN-13: 978-1584888321
  • Product Dimensions: 0.8 x 6.5 x 9.5 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #1,492,696 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

13 of 14 people found the following review helpful By Michael Barnathan on November 26, 2008
Format: Hardcover Verified Purchase
I am doing research in data mining using tensor decompositions, and was very impressed by this book. It not only covers all of the important matrix and tensor decompositions, but also methods for computing them (with Matlab code!), the computational complexity of these methods, the tradeoffs and scenarios associated with each decomposition, and potential areas of application. To top it all off, the book is written in a highly approachable manner, covering the general concept of a decomposition and gradually discussing the specific decompositions from simplest to most complex. Highly recommended.
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6 of 6 people found the following review helpful By Dan Brickley on May 15, 2011
Format: Hardcover
Clearly written and accessible to those with fading math skills, this book goes into useful detail, background and context that most online treatments skip past.
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3 of 3 people found the following review helpful By eldil on November 5, 2013
Format: Hardcover
If you want to understand matrix decomposition I doubt you could do better than this. He gives you 4 intuitive interpretations of decompositions; factor, composition, geometric, and graph. Something I love is that he doesn't just mention them once and then charge ahead with math; rather, he touches on them throughout the rest of the book, keeping intuition front and center.

His coverage of variants and applications is good as far as I can tell (you can 'search inside' for yourself). What he has covered (from 2007) is interesting enough to make you want to know the latest developments, but that's not a failing.

A note: the notation he uses is purely mathematical, not Matlab (Octave). He provides Matlab scripts in an appendix, and there is one slip-up where he uses Matlab notation (pg 32) in an equation, but it looks like a mere missed-cleanup; I don't recall, and flipping through it for this review I didn't see, any other places like it.
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1 of 1 people found the following review helpful By Rutu Mulkar on March 14, 2012
Format: Hardcover Verified Purchase
I have been looking for a long time for a book to describe the intricacies of matrix decompositions, the theory and intuition behind it, and this book is the best one I have come across for that.

It describes the intuitions, the theory in a very easy to understand format.

I wish I had come across this book sooner.
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Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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