Chapter

Domain Driven Data Mining

pp 1-25

Date:

Challenges and Trends

  • Longbing CaoAffiliated withFac. Engineering & Information Tech. Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney Email author 
  • , Chengqi ZhangAffiliated withFac. Engineering & Information Tech. Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney
  • , Philip S. YuAffiliated withDepartment of Computer Science, University of Illinois, Chicago
  • , Yanchang ZhaoAffiliated withFac. Engineering & Information Tech. Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney

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Abstract

This chapter introduces the challenges and trends of data mining and knowledge discovery from data (KDD). We emphasize the issues surrounding real-world data mining, distinguish data-centered data mining from domain driven data mining, and propose the trends from data-centered hidden pattern discovery to domain driven actionable knowledge delivery(AKD) as a new KDD paradigm shift.