Data Mining for Business Applications

Editors: Cao, L., Yu, P.S., Zhang, C., Zhang, H. (Eds.)

  • Presents knowledge, techniques and case studies to bridge the gap between business expectations and research outputs
  • Explores new research issues in data mining, including trust, organizational and social factors
  • Addresses recent applications in areas such as blog mining and social security mining
  • Introduces techniques and methodologies evidenced and validated in real-life enterprise data mining
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eBook $139.00
price for USA (gross)
  • ISBN 978-0-387-79420-4
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Hardcover $179.00
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  • ISBN 978-0-387-79419-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
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  • ISBN 978-1-4419-4635-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Data Mining for Business Applications presents state-of-the-art data mining research and development related to methodologies, techniques, approaches and successful applications. The contributions of this book mark a paradigm shift from "data-centered pattern mining" to "domain-driven actionable knowledge discovery (AKD)" for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future data mining research and development in the dialogue between academia and business.

Part I centers on developing workable AKD methodologies, including:

    • domain-driven data mining
    • post-processing rules for actions
    • domain-driven customer analytics
    • the role of human intelligence in AKD
    • maximal pattern-based cluster
    • ontology mining

Part II focuses on novel KDD domains and the corresponding techniques, exploring the mining of emergent areas and domains such as:

    • social security data
    • community security data
    • gene sequences
    • mental health information
    • traditional Chinese medicine data
    • cancer related data
    • blog data
    • sentiment information
    • web data
    • procedures
    • moving object trajectories
    • land use mapping
    • higher education data
    • flight scheduling
    • algorithmic asset management

Researchers, practitioners and university students in the areas of data mining and knowledge discovery, knowledge engineering, human-computer interaction, artificial intelligence, intelligent information processing, decision support systems, knowledge management, and KDD project management are sure to find this a practical and effective means of enhancing their understanding of and using data mining in their own projects.

Reviews

From the reviews:

"This is a compendium of papers written by 58 authors from different countries--including six from the US. … present the full gamut of current research in the field of actionable knowledge discovery (AKD), as it applies to real-world problems. … the intended audience of this book clearly includes industry practitioners, as well. … The editors have culled a wide array of methodologies for and applications of data mining, from the cutting edge of research. This book provides … further the development of actionable systems." (R. Goldberg, ACM Computing Reviews, June, 2009)


Table of contents (20 chapters)

  • Introduction to Domain Driven Data Mining

    Longbing, Cao

    Pages 3-10

  • Post-processing Data Mining Models for Actionability

    Yang, Qiang

    Pages 11-30

  • On Mining Maximal Pattern-Based Clusters

    Pei, Jian (et al.)

    Pages 31-52

  • Role of Human Intelligence in Domain Driven Data Mining

    Sharma, Sumana (et al.)

    Pages 53-61

  • Ontology Mining for Personalized Search

    Li, Yuefeng (et al.)

    Pages 63-78

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-0-387-79420-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-0-387-79419-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • ISBN 978-1-4419-4635-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining for Business Applications
Editors
  • Longbing Cao
  • Philip S. Yu
  • Chengqi Zhang
  • Huaifeng Zhang
Copyright
2009
Publisher
Springer US
Copyright Holder
Springer-Verlag US
Distribution Rights
Distribution rights for India: Atlantic Pub. & Distr. (P) Ltd., New Delhi, India
eBook ISBN
978-0-387-79420-4
DOI
10.1007/978-0-387-79420-4
Hardcover ISBN
978-0-387-79419-8
Softcover ISBN
978-1-4419-4635-5
Edition Number
1
Number of Pages
XX, 302
Topics