Data mining techniques: for marketing, sales, and customer support
"Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patter...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
New York [u.a.]
Wiley
1997
|
Schlagworte: | |
Zusammenfassung: | "Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies. While database analysts will find more than enough technical information to satisfy their curiosity, technically savvy business and marketing managers will find the coverage eminently accessible. Here's your chance to learn all about how leading companies across North America are using data mining to beat the competition; how each tool works, and how to pick the right one for the job; seven powerful techniques - cluster detection, memory-based reasoning, market basket analysis, genetic algorithms, link analysis, decision trees, and neural nets, and how to prepare data sources for data mining, and how to evaluate and use the results you get." "Data Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems."--BOOK JACKET. |
Beschreibung: | Literaturverz. S. 443 - 444 |
Beschreibung: | X, 454 S. Ill., graph. Darst. |
ISBN: | 0471179809 |
Internformat
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520 | 1 | |a "Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies. While database analysts will find more than enough technical information to satisfy their curiosity, technically savvy business and marketing managers will find the coverage eminently accessible. Here's your chance to learn all about how leading companies across North America are using data mining to beat the competition; how each tool works, and how to pick the right one for the job; seven powerful techniques - cluster detection, memory-based reasoning, market basket analysis, genetic algorithms, link analysis, decision trees, and neural nets, and how to prepare data sources for data mining, and how to evaluate and use the results you get." "Data Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems."--BOOK JACKET. | |
650 | 7 | |a Data mining |2 gtt | |
650 | 4 | |a Exploration de données (Informatique) | |
650 | 7 | |a Exploration de données |2 ram | |
650 | 4 | |a Gestion - Informatique | |
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650 | 7 | |a Klantenservice |2 gtt | |
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Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Berry, Michael J. A. Linoff, Gordon |
author_facet | Berry, Michael J. A. Linoff, Gordon |
author_role | aut aut |
author_sort | Berry, Michael J. A. |
author_variant | m j a b mja mjab g l gl |
building | Verbundindex |
bvnumber | BV021936083 |
callnumber-first | H - Social Science |
callnumber-label | HF5415 |
callnumber-raw | HF5415.125 |
callnumber-search | HF5415.125 |
callnumber-sort | HF 45415.125 |
callnumber-subject | HF - Commerce |
classification_rvk | QP 345 QP 650 ST 271 ST 530 |
ctrlnum | (OCoLC)36755821 (DE-599)BVBBV021936083 |
dewey-full | 658.8/02 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.8/02 |
dewey-search | 658.8/02 |
dewey-sort | 3658.8 12 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Informatik Wirtschaftswissenschaften |
discipline_str_mv | Informatik Wirtschaftswissenschaften |
format | Book |
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id | DE-604.BV021936083 |
illustrated | Illustrated |
index_date | 2024-07-02T16:06:36Z |
indexdate | 2024-07-09T20:47:45Z |
institution | BVB |
isbn | 0471179809 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015151236 |
oclc_num | 36755821 |
open_access_boolean | |
owner | DE-706 |
owner_facet | DE-706 |
physical | X, 454 S. Ill., graph. Darst. |
publishDate | 1997 |
publishDateSearch | 1997 |
publishDateSort | 1997 |
publisher | Wiley |
record_format | marc |
spelling | Berry, Michael J. A. Verfasser aut Data mining techniques for marketing, sales, and customer support New York [u.a.] Wiley 1997 X, 454 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. 443 - 444 "Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies. While database analysts will find more than enough technical information to satisfy their curiosity, technically savvy business and marketing managers will find the coverage eminently accessible. Here's your chance to learn all about how leading companies across North America are using data mining to beat the competition; how each tool works, and how to pick the right one for the job; seven powerful techniques - cluster detection, memory-based reasoning, market basket analysis, genetic algorithms, link analysis, decision trees, and neural nets, and how to prepare data sources for data mining, and how to evaluate and use the results you get." "Data Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems."--BOOK JACKET. Data mining gtt Exploration de données (Informatique) Exploration de données ram Gestion - Informatique Gestion - Informatique ram Klantenservice gtt Marketing - Informatique Marketing - Informatique ram Marketing gtt Datenverarbeitung Wirtschaft Business Data processing Data mining Marketing Data processing Informationsbeschaffung (DE-588)4132784-6 gnd rswk-swf Data-Warehouse-Konzept (DE-588)4406462-7 gnd rswk-swf Datenerhebung (DE-588)4155272-6 gnd rswk-swf Kundenmanagement (DE-588)4236865-0 gnd rswk-swf Informationsmanagement (DE-588)4114012-6 gnd rswk-swf Marketing (DE-588)4037589-4 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Marketing (DE-588)4037589-4 s DE-604 Informationsmanagement (DE-588)4114012-6 s Informationsbeschaffung (DE-588)4132784-6 s Datenerhebung (DE-588)4155272-6 s Kundenmanagement (DE-588)4236865-0 s Data-Warehouse-Konzept (DE-588)4406462-7 s Data Mining (DE-588)4428654-5 s 1\p DE-604 Linoff, Gordon Verfasser aut 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Berry, Michael J. A. Linoff, Gordon Data mining techniques for marketing, sales, and customer support Data mining gtt Exploration de données (Informatique) Exploration de données ram Gestion - Informatique Gestion - Informatique ram Klantenservice gtt Marketing - Informatique Marketing - Informatique ram Marketing gtt Datenverarbeitung Wirtschaft Business Data processing Data mining Marketing Data processing Informationsbeschaffung (DE-588)4132784-6 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd Datenerhebung (DE-588)4155272-6 gnd Kundenmanagement (DE-588)4236865-0 gnd Informationsmanagement (DE-588)4114012-6 gnd Marketing (DE-588)4037589-4 gnd Data Mining (DE-588)4428654-5 gnd |
subject_GND | (DE-588)4132784-6 (DE-588)4406462-7 (DE-588)4155272-6 (DE-588)4236865-0 (DE-588)4114012-6 (DE-588)4037589-4 (DE-588)4428654-5 |
title | Data mining techniques for marketing, sales, and customer support |
title_auth | Data mining techniques for marketing, sales, and customer support |
title_exact_search | Data mining techniques for marketing, sales, and customer support |
title_exact_search_txtP | Data mining techniques for marketing, sales, and customer support |
title_full | Data mining techniques for marketing, sales, and customer support |
title_fullStr | Data mining techniques for marketing, sales, and customer support |
title_full_unstemmed | Data mining techniques for marketing, sales, and customer support |
title_short | Data mining techniques |
title_sort | data mining techniques for marketing sales and customer support |
title_sub | for marketing, sales, and customer support |
topic | Data mining gtt Exploration de données (Informatique) Exploration de données ram Gestion - Informatique Gestion - Informatique ram Klantenservice gtt Marketing - Informatique Marketing - Informatique ram Marketing gtt Datenverarbeitung Wirtschaft Business Data processing Data mining Marketing Data processing Informationsbeschaffung (DE-588)4132784-6 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd Datenerhebung (DE-588)4155272-6 gnd Kundenmanagement (DE-588)4236865-0 gnd Informationsmanagement (DE-588)4114012-6 gnd Marketing (DE-588)4037589-4 gnd Data Mining (DE-588)4428654-5 gnd |
topic_facet | Data mining Exploration de données (Informatique) Exploration de données Gestion - Informatique Klantenservice Marketing - Informatique Marketing Datenverarbeitung Wirtschaft Business Data processing Marketing Data processing Informationsbeschaffung Data-Warehouse-Konzept Datenerhebung Kundenmanagement Informationsmanagement Data Mining |
work_keys_str_mv | AT berrymichaelja dataminingtechniquesformarketingsalesandcustomersupport AT linoffgordon dataminingtechniquesformarketingsalesandcustomersupport |