Data mining techniques : for marketing, sales, and customer relationship management
Gordon Linoff, Michael J. A. Berry (Author)
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition-more than 50% new and revised- is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems
1 online resource (846 pages) : illustrations
9781118087459, 9781118087473, 9781118087503, 9781280686191, 9786613663139, 1118087453, 111808747X, 111808750X, 1280686197, 6613663131
731512439
What Is data mining and why do it?
Data mining applications in marketing and customer relationship management
The data mining process
Statistics 101: What you should know about data
Descriptions and prediction: profiling and predictive modeling
Data mining using classic statistical techniques
Decision trees
Artificail neural networks
Nearest neighbor approaches: Memory-based reasoning and collaborative filtering
Knowing when to worry: Using survival analysis to understand customers
Genetic algorithms and swarm intelligence
Tell me something new: Pattern discovery and data mining
Finding islands of similarity: Automatic cluster detection
Alternative approaches to cluster detection
Market basket analysis and association rules
Link analysis
Data warehousing, OLAP, analytic sandboxes, and data mining
Building customer signatures
Derived variables: Making the data mean more
Too much of a good thing? Techniques for reducing the number of variables
Listen carefully to what your customers say: text mining
English
umich.skillport.com Access to the Skillsoft books online version restricted; authentication may be required
login.library.sheridanc.on.ca Full text online from Skillport