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Author Linoff, Gordon.

Title Data mining techniques : for marketing, sales, and customer relationship management / Gordon S. Linoff, Michael J.A. Berry.

Imprint Indianapolis, Ind. : Wiley, ©2011.

Copies

Location Call No. OPAC Message Status
 Axe Books 24x7 Business E-Book  Electronic Book    ---  Available
Edition 3rd ed.
Description 1 online resource (846 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Bibliography Includes bibliographical references and index.
Contents 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.
Summary 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.
Note Print version record.
Subject Business -- Data processing.
Data mining.
Marketing -- Data processing.
BUSINESS & ECONOMICS -- Green Business.
Business -- Data processing. (OCoLC)fst00842293
Data mining. (OCoLC)fst00887946
Marketing -- Data processing. (OCoLC)fst01010187
Data Mining
Marketing
Kundenberatung
Marknadsföring -- databehandling.
Genre/Form Electronic book.
Electronic books.
Added Author Berry, Michael J. A. Author.
Other Form: Print version: Linoff, Gordon. Data mining techniques. 3rd ed. Indianapolis, IN : Wiley Pub., 2011 9780470650936 (DLC) 2011921769 (OCoLC)668195935
ISBN 9781118087459 (electronic bk.)
1118087453 (electronic bk.)
9781118087473 (electronic bk.)
111808747X (electronic bk.)
9781118087503 (electronic bk.)
111808750X (electronic bk.)
9780470650936
0470650931
Standard No. AU@ 000049595375
AU@ 000050013494
AU@ 000053266116
CHNEW 000723247
DEBBG BV040867967
DEBBG BV040900910
DEBBG BV041052720
DEBBG BV044187898
DEBSZ 372706088
DEBSZ 378279947
DEBSZ 381369390
DEBSZ 397002521
GBVCP 785363521
HEBIS 299834034
NZ1 14257296
NZ1 15411747

 
    
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