Data mining techniques: for marketing, sales, and customer relationship management
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Indianapolis, Ind.
Wiley
c2011
|
| Ausgabe: | 3. ed. |
| Schlagworte: | |
| Online-Zugang: | TUM01 Volltext |
| Beschreibung: | Includes bibliographical references and index 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 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 |
| Beschreibung: | 1 Online-Ressource (xl, 847 p.) Ill., graph. Darst. |
| ISBN: | 1118087453 111808747X 111808750X 9781118087459 9781118087473 9781118087503 |
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| 500 | |a 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 | ||
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| building | Verbundindex |
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| callnumber-first | H - Social Science |
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| callnumber-sort | HF 45415.125 |
| callnumber-subject | HF - Commerce |
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| 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 |
| edition | 3. ed. |
| format | Electronic eBook |
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| id | DE-604.BV041052720 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:38:34Z |
| institution | BVB |
| isbn | 1118087453 111808747X 111808750X 9781118087459 9781118087473 9781118087503 |
| language | English |
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| spelling | Linoff, Gordon Verfasser aut Data mining techniques for marketing, sales, and customer relationship management Gordon S. Linoff ; Michael J.A. Berry 3. ed. Indianapolis, Ind. Wiley c2011 1 Online-Ressource (xl, 847 p.) Ill., graph. Darst. txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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 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 BUSINESS & ECONOMICS / Green Business bisacsh Datenverarbeitung Wirtschaft Business / Data processing Data mining Marketing / Data processing Data Mining (DE-588)4428654-5 gnd rswk-swf Kundenmanagement (DE-588)4236865-0 gnd rswk-swf Marketing (DE-588)4037589-4 gnd rswk-swf Data-Warehouse-Konzept (DE-588)4406462-7 gnd rswk-swf Data Mining (DE-588)4428654-5 s Data-Warehouse-Konzept (DE-588)4406462-7 s DE-604 Marketing (DE-588)4037589-4 s Kundenmanagement (DE-588)4236865-0 s 1\p DE-604 Berry, Michael J. A. Sonstige oth Erscheint auch als Druck-Ausgabe, Paperback 0-470-65093-1 Erscheint auch als Druck-Ausgabe, Paperback 978-0-470-65093-6 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=520245 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Linoff, Gordon Data mining techniques for marketing, sales, and customer relationship management BUSINESS & ECONOMICS / Green Business bisacsh Datenverarbeitung Wirtschaft Business / Data processing Data mining Marketing / Data processing Data Mining (DE-588)4428654-5 gnd Kundenmanagement (DE-588)4236865-0 gnd Marketing (DE-588)4037589-4 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4236865-0 (DE-588)4037589-4 (DE-588)4406462-7 |
| 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 Gordon S. Linoff ; Michael J.A. Berry |
| title_fullStr | Data mining techniques for marketing, sales, and customer relationship management Gordon S. Linoff ; Michael J.A. Berry |
| title_full_unstemmed | Data mining techniques for marketing, sales, and customer relationship management Gordon S. Linoff ; Michael J.A. Berry |
| 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 | BUSINESS & ECONOMICS / Green Business bisacsh Datenverarbeitung Wirtschaft Business / Data processing Data mining Marketing / Data processing Data Mining (DE-588)4428654-5 gnd Kundenmanagement (DE-588)4236865-0 gnd Marketing (DE-588)4037589-4 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd |
| topic_facet | BUSINESS & ECONOMICS / Green Business Datenverarbeitung Wirtschaft Business / Data processing Data mining Marketing / Data processing Data Mining Kundenmanagement Marketing Data-Warehouse-Konzept |
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