Domain Driven Data Mining

In the present thriving global economy a need has evolved for complex data analysis to enhance an organization's production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Cao, Longbing (Author), Yu, Philip S. (Author), Zhang, Chengqi (Author), Zhao, Yanchang (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer US : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Subjects:
Data mining.
Information storage and retrieval systems.
Business mathematics.
Business information services.
Application software.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Business Mathematics.
IT in Business.
Computer and Information Systems Applications.
Online Access:Texto Completo
Table of Contents:
  • Challenges and Trends
  • Methodology
  • Ubiquitous Intelligence
  • Knowledge Actionability
  • AKD Frameworks
  • Combined Mining
  • Agent-Driven Data Mining
  • Post Mining
  • Mining Actionable Knowledge on Capital Market Data
  • Mining Actionable Knowledge on Social Security Data
  • Open Issues and Prospects
  • Reading Materials.

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