- Hardcover: 1383 pages
- Publisher: Springer; 1 edition (September 1, 2005)
- Language: English
- ISBN-10: 0387244352
- ISBN-13: 978-1402073618
- Product Dimensions: 2.8 x 6.8 x 9.8 inches
- Shipping Weight: 4.6 pounds
- Average Customer Review: 4.0 out of 5 stars See all reviews (2 customer reviews)
- Amazon Best Sellers Rank: #4,950,185 in Books (See Top 100 in Books)
Enter your mobile number below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
Getting the download link through email is temporarily not available. Please check back later.
To get the free app, enter your mobile phone number.
Data Mining and Knowledge Discovery Handbook 1st Edition
Use the Amazon App to scan ISBNs and compare prices.
There is a newer edition of this item:
Windows 10 For Dummies Video Training
Get up to speed with Windows 10 with this video training course from For Dummies. Learn more.
Top Customer Reviews
The first thing to be said is that the index is rubbish. For such a large book it is totally inadequate (5 pages for a 1383 page book!), the level of indexing fluctuates wildly and there are some really strange errors:
Decision Tree 1114
Decision support systems ......
Decision table majority 99, 105
Decision tree 150, 165, 167, 314
That "Decision Tree" should be sorted away from "Decision tree" is understandable to anyone who knows ASCII but surely even then the two entries shouldn't be split by "Decision support". I also liked:
GLM (Generalized Linear Model) 240, 575
GLM (Generalized Linear Models) 213, 215
In general, the quality of the index reflects the general quality of the editing: poor. I have been involved in contributing a chapter to a book of this sort and know that it is very difficult for the editor to maintain a constant vocabulary, level and thrust throughout a book of contributed papers but this one is worse than normal: some authors simply repeat what previous authors have said, some contradict.
So, is this worth the best part of $200? If you are looking for a review of data mining techniques without a great deal of mathematical maturity being required then this is probably a reasonable book. Many of the papers cover the ground of a particular technique very well. What is lacking is the map of the wood as well as the details of each tree. There is one overview paper at the front but it introduces terminology that is not generally followed later.Read more ›