Computational Intelligence in Data Mining - Volume 1

This edited collection examines the obstacles and open questions in combining computational intelligence with data mining, two central areas of computer science. Data mining is the process of using intelligent analysis methods to automatically uncover useful knowledge buried in large datasets. Its importance has grown quickly for two reasons: the knowledge stored in an organization's databases can sharpen strategic and managerial decisions, and the sheer volume of information now collected makes manual analysis impractical.

The chapters survey various ways of integrating these fields to better achieve data mining's goals. They also introduce emerging research directions in data mining, machine intelligence and computational intelligence, alongside current problems and practical applications.

The volume is aimed at researchers and practitioners who want an overview of recent work at the intersection of these disciplines.