Domain Driven Data Mining

• Main Authors: Cao, Longbing (Author), Yu, Philip S. (Author), Zhang, Chengqi (Author), Zhao, Yanchang (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2010.
• Edition: First.
• Subjects: Computer science.; Information technology.; Business > Data processing.; Business mathematics.; Data mining.; Information storage and retrieval.; Computer Science.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Business Mathematics.; IT in Business.; Information Systems Applications (incl. Internet).

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 offer...

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.