Data mining techniques : for marketing, sales, and customer relationship management /

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

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ProQuest (Firm)
Berry, Michael J. A.
TeilnehmendeR:
Linoff, Gordon.
ProQuest (Firm)
Year of Publication:2004
Edition:2nd ed.
Language:English
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Physical Description:xxv, 643 p. :; ill.
Notes:Includes index.
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(CaPaEBR)ebr10114278
(CaONFJC)MIL35280
(OCoLC)55141423
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record_format marc
spelling Berry, Michael J. A.
Data mining techniques [electronic resource] : for marketing, sales, and customer relationship management / Michael J.A. Berry, Gordon S. Linoff.
2nd ed.
Indianapolis, Ind. : Wiley Pub., c2004.
xxv, 643 p. : ill.
Includes index.
Why and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Data mining.
Marketing Data processing.
Business Data processing.
Electronic books.
Linoff, Gordon.
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=183845 Click to View
language English
format Electronic
eBook
author Berry, Michael J. A.
spellingShingle Berry, Michael J. A.
Data mining techniques for marketing, sales, and customer relationship management /
Why and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.
author_facet Berry, Michael J. A.
Linoff, Gordon.
ProQuest (Firm)
ProQuest (Firm)
author_variant m j a b mja mjab
author2 Linoff, Gordon.
ProQuest (Firm)
author2_variant g l gl
author2_role TeilnehmendeR
TeilnehmendeR
author_corporate ProQuest (Firm)
author_sort Berry, Michael J. A.
title Data mining techniques for marketing, sales, and customer relationship management /
title_sub for marketing, sales, and customer relationship management /
title_full Data mining techniques [electronic resource] : for marketing, sales, and customer relationship management / Michael J.A. Berry, Gordon S. Linoff.
title_fullStr Data mining techniques [electronic resource] : for marketing, sales, and customer relationship management / Michael J.A. Berry, Gordon S. Linoff.
title_full_unstemmed Data mining techniques [electronic resource] : for marketing, sales, and customer relationship management / Michael J.A. Berry, Gordon S. Linoff.
title_auth Data mining techniques for marketing, sales, and customer relationship management /
title_new Data mining techniques
title_sort data mining techniques for marketing, sales, and customer relationship management /
publisher Wiley Pub.,
publishDate 2004
physical xxv, 643 p. : ill.
edition 2nd ed.
contents Why and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.
callnumber-first H - Social Science
callnumber-subject HF - Commerce
callnumber-label HF5415
callnumber-sort HF 45415.125 B47 42004
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=183845
illustrated Illustrated
dewey-hundreds 600 - Technology
dewey-tens 650 - Management & public relations
dewey-ones 658 - General management
dewey-full 658.8/02
dewey-sort 3658.8 12
dewey-raw 658.8/02
dewey-search 658.8/02
oclc_num 55141423
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is_hierarchy_title Data mining techniques for marketing, sales, and customer relationship management /
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