Data mining techniques: for marketing, sales, and customer relationship management
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Indianapolis, Ind.
Wiley Pub.
c2004
|
| Ausgabe: | 2nd ed |
| Schlagworte: | |
| Beschreibung: | Includes index |
| Beschreibung: | xxv, 643 p. |
| ISBN: | 0471470643 |
Internformat
MARC
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| 100 | 1 | |a Berry, Michael J. A. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Data mining techniques |b for marketing, sales, and customer relationship management |c Michael J.A. Berry, Gordon S. Linoff |
| 250 | |a 2nd ed | ||
| 264 | 1 | |a Indianapolis, Ind. |b Wiley Pub. |c c2004 | |
| 300 | |a xxv, 643 p. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes index | ||
| 505 | 8 | |a 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 | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Marketing |x Data processing | |
| 650 | 4 | |a Business |x Data processing | |
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Datensatz im Suchindex
| _version_ | 1804178338573451264 |
|---|---|
| any_adam_object | |
| author | Berry, Michael J. A. |
| author_facet | Berry, Michael J. A. |
| author_role | aut |
| author_sort | Berry, Michael J. A. |
| author_variant | m j a b mja mjab |
| building | Verbundindex |
| bvnumber | BV044834899 |
| collection | ZDB-38-ESG |
| 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 |
| ctrlnum | (ZDB-38-ESG)ebr10114278 (OCoLC)55141423 (DE-599)BVBBV044834899 |
| 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 | Wirtschaftswissenschaften |
| edition | 2nd ed |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:02:23Z |
| institution | BVB |
| isbn | 0471470643 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030229761 |
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| physical | xxv, 643 p. |
| psigel | ZDB-38-ESG |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Wiley Pub. |
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| spelling | Berry, Michael J. A. Verfasser aut Data mining techniques for marketing, sales, and customer relationship management Michael J.A. Berry, Gordon S. Linoff 2nd ed Indianapolis, Ind. Wiley Pub. c2004 xxv, 643 p. txt rdacontent c rdamedia cr rdacarrier 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 Data mining Marketing Data processing Business Data processing Data Mining (DE-588)4428654-5 gnd rswk-swf Data-Warehouse-Konzept (DE-588)4406462-7 gnd rswk-swf Marketing (DE-588)4037589-4 gnd rswk-swf Kundenmanagement (DE-588)4236865-0 gnd rswk-swf Marketing (DE-588)4037589-4 s Kundenmanagement (DE-588)4236865-0 s Data Mining (DE-588)4428654-5 s 1\p DE-604 Data-Warehouse-Konzept (DE-588)4406462-7 s 2\p DE-604 Linoff, Gordon Sonstige oth 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| 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 Data mining Marketing Data processing Business Data processing Data Mining (DE-588)4428654-5 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd Marketing (DE-588)4037589-4 gnd Kundenmanagement (DE-588)4236865-0 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4406462-7 (DE-588)4037589-4 (DE-588)4236865-0 |
| title | Data mining techniques for marketing, sales, and customer relationship management |
| title_auth | Data mining techniques for marketing, sales, and customer relationship management |
| title_exact_search | Data mining techniques for marketing, sales, and customer relationship management |
| title_full | Data mining techniques for marketing, sales, and customer relationship management Michael J.A. Berry, Gordon S. Linoff |
| title_fullStr | Data mining techniques for marketing, sales, and customer relationship management Michael J.A. Berry, Gordon S. Linoff |
| title_full_unstemmed | Data mining techniques for marketing, sales, and customer relationship management Michael J.A. Berry, Gordon S. Linoff |
| title_short | Data mining techniques |
| title_sort | data mining techniques for marketing sales and customer relationship management |
| title_sub | for marketing, sales, and customer relationship management |
| topic | Data mining Marketing Data processing Business Data processing Data Mining (DE-588)4428654-5 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd Marketing (DE-588)4037589-4 gnd Kundenmanagement (DE-588)4236865-0 gnd |
| topic_facet | Data mining Marketing Data processing Business Data processing Data Mining Data-Warehouse-Konzept Marketing Kundenmanagement |
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