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: Data mining
    sub title: concepts and techniques
  name:
    name part: Han, Jiawei.
    role:
      role term: creator
  name:
    name part: Kamber, Micheline.
  name:
    name part: Pei, Jian.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  genre: Handbook
  genre: handbooks.
  genre: Handbooks and manuals
  genre: Handbooks and manuals.
  genre: Guides et manuels.
  origin info:
    place:
      place term: vtu
    place:
      place term: Burlington
    publisher: Elsevier Science
    date issued: 2011
    edition: 3rd ed.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (744 pages) : illustrations
  abstract: The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understandin.
  table of contents: Front Cover; Data Mining: Concepts and Techniques; Copyright; Dedication; Table of Contents; Foreword; Foreword to Second Edition; Preface; Acknowledgments; About the Authors; Chapter 1. Introduction; Chapter 2. Getting to Know Your Data; Chapter 3. Data Preprocessing; Chapter 4. Data Warehousing and Online Analytical Processing; Chapter 5. Data Cube Technology; Chapter 6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods; Chapter 7. Advanced Pattern Mining; Chapter 8. Classification: Basic Concepts; Chapter 9. Classification: Advanced Methods.
  table of contents: Chapter 10. Cluster Analysis: Basic Concepts and MethodsChapter 11. Advanced Cluster Analysis; Chapter 12. Outlier Detection; Chapter 13. Data Mining Trends and Research Frontiers; Bibliography; Index.
  note: Jiawei Han, Micheline Kamber, Jian Pei.
  note: Includes bibliographical references (pages 633-671) and index.
  subject:
    topic: Data mining
  subject:
    topic: Data Mining
  subject:
    topic: Exploration de données (Informatique)
  subject:
    topic: Data mining
  subject:
    topic: Computer-assisted instruction
  subject:
    topic: Data mining
    topic: Handbooks, manuals, etc.
  subject:
    topic: Computer science
  subject:
    topic: Electronic books
  classification: QA76.9.D343H36 2011eb
  classification: 006.3/12
  related item:
    title info:
      title: Data Mining: Concepts and Techniques
    name:
      name part: Han, Jiawei.
    origin info:
      publisher: Burlington : Elsevier Science, ©2011
  related item:
    title info:
      title: Morgan Kaufmann series in data management systems
  identifier: 9780123814807
  identifier: 0123814804
  identifier: 9780123814791
  identifier: 0123814790
  identifier: 9786613171177
  identifier: 6613171174
  identifier: 2011010635
  identifier: 317117 MIL
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 110718
    record change date: 20260326185827.3
    record identifier: in00005748102
    language of cataloging:
      language term: eng