Commercial data mining: processing, analysis and modeling for predictive analytics projects
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Morgan Kaufmann
2014
|
| Schlagworte: | |
| Online-Zugang: | DE-860 |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource |
| ISBN: | 9780124166585 012416658X |
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| 505 | 8 | |a Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. Illustrates cost-benefit evaluation of potential projects Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools Approachable reference can be read from cover to cover by readers of all experience levelsIncludes practical examples and case studies as well as actionable business insights from author's own experience | |
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Datensatz im Suchindex
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| contents | Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. Illustrates cost-benefit evaluation of potential projects Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools Approachable reference can be read from cover to cover by readers of all experience levelsIncludes practical examples and case studies as well as actionable business insights from author's own experience |
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| discipline | Informatik Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV046101241 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-10T17:13:16Z |
| institution | BVB |
| isbn | 9780124166585 012416658X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031482019 |
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| publishDate | 2014 |
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| publisher | Morgan Kaufmann |
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| spelling | Nettleton, David Verfasser aut Commercial data mining processing, analysis and modeling for predictive analytics projects David Nettleton Amsterdam Morgan Kaufmann 2014 1 online resource txt rdacontent c rdamedia cr rdacarrier Print version record Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. Illustrates cost-benefit evaluation of potential projects Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools Approachable reference can be read from cover to cover by readers of all experience levelsIncludes practical examples and case studies as well as actionable business insights from author's own experience COMPUTERS / General bisacsh Data mining fast Data mining Marketing (DE-588)4037589-4 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Data Mining (DE-588)4428654-5 s Marketing (DE-588)4037589-4 s DE-604 Erscheint auch als Druck-Ausgabe Nettleton, David Commercial data mining 9780124166028 |
| spellingShingle | Nettleton, David Commercial data mining processing, analysis and modeling for predictive analytics projects Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. Illustrates cost-benefit evaluation of potential projects Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools Approachable reference can be read from cover to cover by readers of all experience levelsIncludes practical examples and case studies as well as actionable business insights from author's own experience COMPUTERS / General bisacsh Data mining fast Data mining Marketing (DE-588)4037589-4 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4037589-4 (DE-588)4428654-5 |
| title | Commercial data mining processing, analysis and modeling for predictive analytics projects |
| title_auth | Commercial data mining processing, analysis and modeling for predictive analytics projects |
| title_exact_search | Commercial data mining processing, analysis and modeling for predictive analytics projects |
| title_full | Commercial data mining processing, analysis and modeling for predictive analytics projects David Nettleton |
| title_fullStr | Commercial data mining processing, analysis and modeling for predictive analytics projects David Nettleton |
| title_full_unstemmed | Commercial data mining processing, analysis and modeling for predictive analytics projects David Nettleton |
| title_short | Commercial data mining |
| title_sort | commercial data mining processing analysis and modeling for predictive analytics projects |
| title_sub | processing, analysis and modeling for predictive analytics projects |
| topic | COMPUTERS / General bisacsh Data mining fast Data mining Marketing (DE-588)4037589-4 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | COMPUTERS / General Data mining Marketing Data Mining |
| work_keys_str_mv | AT nettletondavid commercialdataminingprocessinganalysisandmodelingforpredictiveanalyticsprojects |