rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Commercial data mining
    sub title: processing, analysis and modeling for predictive analytics projects
  name:
    name part: Nettleton, David
    name part: 1963-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: 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.
  table of 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.
  note: David Nettleton.
  note: Includes bibliographical references and index.
  subject:
    topic: Data mining
  subject:
    topic: Data Mining
  subject:
    topic: Exploration de données (Informatique)
  subject:
    topic: COMPUTERS
    topic: General
  subject:
    topic: Data mining
  classification: QA76.9.D343
  classification: 006.312
  related item:
    title info:
      title: The Savvy manager's guides
  related item:
    title info:
      title: Commercial data mining
    name:
      name part: Nettleton, David.
    identifier: (OCoLC)868077420
  identifier: 9780124166585
  identifier: 012416658X
  identifier: 9780124166028
  identifier: 0124166024
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 140212
    record change date: 20260326200134.0
    record identifier: in00005753832
    language of cataloging:
      language term: eng