Business Intelligence

Domain Driven Data Mining - Application to Business

Free registration required

Executive Summary

Conventional data mining applications face serious difficulties in solving complex real-life business decision making problems when practically deployed. This paper in order to improve the operations in a collection of business domains aims to suggest solutions by reviewing and studying the latest methodological, technical, practical progresses and some case studies of data mining via Domain Driven Data Mining (DDDM). The presented paper tries to answer this question: "What can domain driven data mining do for real-life business applications?" Moreover this paper attempts to provide information and abilities to fill the existing gap between academic researches and real-world business problems.

  • Format: PDF
  • Size: 45.86 KB