Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Jiawei Han, Micheline Kamber
[PDF.vn41] Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) Rating: 4.79 (464 Votes)
Data Mining: Concepts and Jiawei Han, Micheline Kamber epub Data Mining: Concepts and Jiawei Han, Micheline Kamber pdf download Data Mining: Concepts and Jiawei Han, Micheline Kamber pdf file Data Mining: Concepts and Jiawei Han, Micheline Kamber audiobook Data Mining: Concepts and Jiawei Han, Micheline Kamber book review Data Mining: Concepts and Jiawei Han, Micheline Kamber summary | #1379583 in Books | Morgan Kaufmann | 2000-09-08 | Original language:English | PDF # 1 | 1.28 x7.56 x9.42l, | File type: PDF | 550 pages | ||0 of 0 people found the following review helpful.| The bibliography was helpful but that's about it|By Gr422|I was assigned this book as a textbook for a class. It wasn't a very useful book:
- No answers to exercises, what is the point of having exercises if there are no answers to see if you did it right?
- No solutions manual I could find, either.
- Examples don't always "finish" a problem, th||"many excellent features" -- Tony Jenkins,Vice Chairman, British Computer Society's, Data Management Specialist Group|From the Back Cover|||Here's the resource you need if you want to apply today's most powerful data minin
Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. Data Mining: Concepts and Techniques equips you with a sound understanding of data mining principles and teaches you proven methods for knowledge discovery in large corporate databases.
Written expressly for database practitioners and professionals, this book begins with a conceptual introduction designed to get you up to speed. This is ...
You easily download any file type for your device.Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) | Jiawei Han, Micheline Kamber. Which are the reasons I like to read books. Great story by a great author.
