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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam :
Morgan Kaufmann,
2014.
|
| Schriftenreihe: | The Savvy manager's guides
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780124166585 012416658X |
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| 520 | |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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| contents | 1. Introduction -- 2. Business Objectives -- 3. Incorporating Various Sources of Data and Information -- 4. Data Representation -- 5. Data Quality -- 6. Selection of Variables and Factor Derivation -- 7. Data Sampling and Partitioning -- 8. Data Analysis -- 9. Data Modeling 10. Deployment Systems: From Query Reporting to EIS and Expert Systems -- 11. Text Analysis -- 12. Data Mining from Relationally Structured Data, Marts, and Warehouses -- 13. CRM -- Customer Relationship Management and Analysis -- 14. Analysis of Data on the Internet I -- Website Analysis and Internet Search (Online Chapter) -- 15. Analysis of Data on the Internet II -- Search Experience Analysis (Online Chapter) -- 16. Analysis of Data on the Internet III -- Online Social Network Analysis (Online Chapter) -- 17. Analysis of Data on the Internet IV -- Search Trend Analysis over Time (Online Chapter) -- 18. Data Privacy and Privacy-Preserving Data Publishing -- 19. Creating an Environment for Commercial Data Analysis -- 20. Summary. |
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| indexdate | 2024-11-26T14:49:13Z |
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| spelling | Nettleton, David, 1963- author. https://id.oclc.org/worldcat/entity/E39PCjtBhvYc88b6TF9bVMfMGd http://id.loc.gov/authorities/names/n2003002842 Commercial data mining : processing, analysis and modeling for predictive analytics projects / David Nettleton. Amsterdam : Morgan Kaufmann, 2014. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier The Savvy manager's guides 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. Print version record. Includes bibliographical references and index. 1. Introduction -- 2. Business Objectives -- 3. Incorporating Various Sources of Data and Information -- 4. Data Representation -- 5. Data Quality -- 6. Selection of Variables and Factor Derivation -- 7. Data Sampling and Partitioning -- 8. Data Analysis -- 9. Data Modeling 10. Deployment Systems: From Query Reporting to EIS and Expert Systems -- 11. Text Analysis -- 12. Data Mining from Relationally Structured Data, Marts, and Warehouses -- 13. CRM -- Customer Relationship Management and Analysis -- 14. Analysis of Data on the Internet I -- Website Analysis and Internet Search (Online Chapter) -- 15. Analysis of Data on the Internet II -- Search Experience Analysis (Online Chapter) -- 16. Analysis of Data on the Internet III -- Online Social Network Analysis (Online Chapter) -- 17. Analysis of Data on the Internet IV -- Search Trend Analysis over Time (Online Chapter) -- 18. Data Privacy and Privacy-Preserving Data Publishing -- 19. Creating an Environment for Commercial Data Analysis -- 20. Summary. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) COMPUTERS General. bisacsh Data mining fast has work: Commercial data mining (Text) https://id.oclc.org/worldcat/entity/E39PCH49mVpTqhkCr6k83DgqcP https://id.oclc.org/worldcat/ontology/hasWork Print version: Nettleton, David. Commercial data mining 9780124166028 (OCoLC)868077420 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=565120 Volltext FWS01 ZDB-4-EBU FWS_PDA_EBU https://www.sciencedirect.com/science/book/9780124166028 Volltext |
| spellingShingle | Nettleton, David, 1963- Commercial data mining : processing, analysis and modeling for predictive analytics projects / 1. Introduction -- 2. Business Objectives -- 3. Incorporating Various Sources of Data and Information -- 4. Data Representation -- 5. Data Quality -- 6. Selection of Variables and Factor Derivation -- 7. Data Sampling and Partitioning -- 8. Data Analysis -- 9. Data Modeling 10. Deployment Systems: From Query Reporting to EIS and Expert Systems -- 11. Text Analysis -- 12. Data Mining from Relationally Structured Data, Marts, and Warehouses -- 13. CRM -- Customer Relationship Management and Analysis -- 14. Analysis of Data on the Internet I -- Website Analysis and Internet Search (Online Chapter) -- 15. Analysis of Data on the Internet II -- Search Experience Analysis (Online Chapter) -- 16. Analysis of Data on the Internet III -- Online Social Network Analysis (Online Chapter) -- 17. Analysis of Data on the Internet IV -- Search Trend Analysis over Time (Online Chapter) -- 18. Data Privacy and Privacy-Preserving Data Publishing -- 19. Creating an Environment for Commercial Data Analysis -- 20. Summary. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) COMPUTERS General. bisacsh Data mining fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 https://id.nlm.nih.gov/mesh/D057225 |
| 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 | Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) COMPUTERS General. bisacsh Data mining fast |
| topic_facet | Data mining. Data Mining Exploration de données (Informatique) COMPUTERS General. Data mining |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=565120 https://www.sciencedirect.com/science/book/9780124166028 |
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