Data mining
"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 followed by a comprehensive and state-of-the-art coverage of data mining concepts and techniques. Each chapter functions as a stand alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability, keeping your eye on the issues that will affect your project's results and your overall success." "Data Mining: Concepts and Techniques is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and professional classrooms."--BOOK JACKET.
Stats for nerds
4recommend
5mentions
5people
2007–2012years
80% recommend20% neutral
Mentions per year
What Hacker News says
- Signal and the noise by Nate Silver(Very nice read. Chapters on climate change and GDP forecasting were a bit slow, but everything else was a page turner) http://www.amazon.com/dp/159420411X
Why I left Goldman Sachs by Greg Smith (Good insight into the 2008 financial breakdown and a look into the day to day operations of Goldman Sachs) http://www.amazon.com/Why-Left-Goldman-Sachs-Street/dp/14555...
The Hobbit http://www.amazon.com/Hobbit-There-Again-Illustrated-Author/...
Data Mining: Concepts and Techniques(Great intro into data mining) http://www.amazon.com/Data-Mining-Concepts-Techniques-Manage...
Programming Collective Intelligence(You can play around with actual implementations of the concepts in the previous book) http://www.amazon.com/Programming-Collective-Intelligence-Bu...
Ghost in the Wires by Kevin Mitnick (Was really nice to see the details behind Mitnick's adventures) http://www.amazon.com/Ghost-Wires-Adventures-Worlds-Wanted/d...
On War By Clausewitz(Really enjoyed this book.)http://www.amazon.com/War-Carl-von-Clausewitz/dp/1448676290
- One book that I would suggest to anyone is Introduction to Automata Theory, Languages, and Computation - HMU. It is very approachable and presents some very interesting topics (so you won't write a regex for matching HTML and will learn what P vs NP means). On a more practical side, I think that a must read for machine learning is Tom Mitchell - Machine Learning . Another book that from what I've heard is easier to digest is Data Mining: Practical Machine Learning Tools and Techniques.
- - Modern Information Retrieval by Baeza Yates
- Data Mining Book by Jiawei Han et al
- Managing Gigabytes by Witten et al
- Hypertext Mining book by Chakrabarti
- If you want a fairly easy read without too many equations, try:
Data Mining: Practical Machine Learning Tools and Techniques (Second Edition) http://www.cs.waikato.ac.nz/~ml/weka/book.html
Which goes nicely with the Weka open source ML toolkit http://www.cs.waikato.ac.nz/ml/weka/
(although it is a good read without the toolkit)
If you want a bit more math, I really like the recent (Oct 2007) book:
Pattern Recognition and Machine Learning by Christopher M. Bishop http://www.amazon.com/Pattern-Recognition-Learning-Informati...
It is nicely self contained, going through all the stats you'll need.
- books about machine learning applications/tools: - "Programming Collective Intelligence" - http://www.oreilly.com/catalog/9780596529321/ - "Data Mining: Practical Machine Learning Tools and Technique" - http://www.cs.waikato.ac.nz/~ml/weka/book.html
books about machine learning background/theory: - "machine learning" - http://www.cs.cmu.edu/~tom/mlbook.html - "learning and soft computing" - http://cognet.mit.edu/library/books/view?isbn=0262112558
For a simple-to-use (Python-based) machine learning tool/API check out Orange: http://magix.fri.uni-lj.si/orange/
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