The evolution of KDD: Towards domain-driven data mining

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 21, Issue 4, 2007, Pages 677-692

  Cao, Longbing ^a   Zhang, Chengqi ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Data mining; Domain driven data mining; Knowledge actionability

Indexed keywords

ALGORITHMS; AUTONOMOUS AGENTS; INTELLIGENT AGENTS; KNOWLEDGE ACQUISITION; SECURITY OF DATA;

DOMAIN-DRIVEN; KDD; KNOWLEDGE ACTIONABILITY; TRIAL-AND-ERROR PROCESS;

DATA MINING;

EID: 34250828110     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001407005612     Document Type: Article

References (25)

1. C. Aggarwal, Towards effective and interpretable data mining by visual interaction, ACM SIGKDD Explor. Newslett. 3(2) (2002) 11-22.
2. M. Ankerst, Report on the SIGKDD-2002 panel the perfect data mining tool: inter-active or automated? ACM SIGKDD Explor. Newslett. 4(2) (2002) 110-111.
3. J. F. Boulicaut and B. Jeudy, Constraint-based data mining, The Data Mining and Knowledge Discovery Handbook (Springer, 2005), pp. 399-416.
4. L. Cao and R. Dai, Human-computer cooperated intelligent information system based on multi-agents, Acta Automat. Sini. 29(1) (2003) 86-94.
5. L. Cao and R. Dai, Agent-oriented metasynthetic engineering for decision making, M. J. Inform. Technol. Dec. Mak. 2(2) (2003) 197-215.
6. L. Cao et al., Ontology-based integration of business intelligence, Web Intell. Ag. Syst.: Int. J. 4(4) (2006) (to appear).
7. L. Cao et al., Domain-driven data mining: a practical methodology, Int. J. Data Warehousing and Mining 2(4) (2006) 49-65.
8. L. Cao et al., Mining impact-targeted activity patterns in unbalanced data, Technical Report, University of Technology (Sydney, 2006).
9. U. Fayyad, G. Shapiro and R. Uthurusamy, Summary from the KDD-03 panel-data mining: the next 10 years, ACM SIGKDD Explor. Newslett. 5(2) (2003) 191-196.
10. A. A. Freitas, On objective measures of rule surprisingness, PKDD98 (1998), pp. 1-9.
11. O. F. G. Ali and W. A. Wallace, Bridging the gap between business objectives and parameters of data, mining algorithms, Decision Support Syst. 21 (1997) 3-15.
12. J. Han, Towards human-centered, constraint-based, multi-dimensional data mining, An invited talk at University of Minnesota, Minneapolis, Minnesota (1999).
13. J. Han and M. Kamber, Data Mining: Concepts and Techniques, 2nd edn. (Morgan Kaufmann, 2006).
14. R. J. Hilderman and H. J. Hamilton, Applying objective interestingness measures in data mining systems, PKDD00 (2000), pp. 432-439.
15. M. Klusch et al., The role of agents in distributed data mining: issues and benefits, Proc. IAT03 (2003), pp. 211-217.
16. L. Lin and L. Cao, Mining in-depth patterns in stock market, Int. J. Intell. Syst. Technol. Appl. (2006) (to appear).
17. B. Liu, W. Hsu, S. Chen and Y. Ma, Analyzing subjective interestingness of association rules, IEEE Intell. Syst. 15(5) (2000) 47-55.
18. E. Omiecinski, Alternative interest measures for mining associations, IEEE Trans. Knowl. Data Engin. 15 (2003) 57-69.
19. B. Padmanabhan and A. Tuzhilin, A belief-driven method for discovering unexpected patterns, KDD-98 (1998), pp. 94-100.
20. A. Silberschatz and A. Tuzhilin, What makes patterns interesting in knowledge discovery systems, IEEE Trans. Knowl. Data Engin. 8(6) (1996) 970-974.
21. A. Silberschatz and A. Tuzhilin, On subjective measures of interestingness in knowledge discovery, Knowl. Discov. Data Min. (1995) 275-281.
22. P. Tan, V. Kumar and J. Srivastava, Selecting the right interestingness measure for association patterns, SIGKDD (2002) 32-41.
23. D. Taniar and J. W. Rahayu, Chapter 13: Parallel data mining, Data Mining A Heuristic Approach, eds. H. A. Abbass, R. Sarker and C. Newton (Idea Group Publishing, 2002), pp. 261-289.
24. K. Wang, S. Zhou and J. Han, Profit mining: from patterns to actions, EBDT(2002).
25. S. Yoon, L. Henschen, E. Park and S. Makki, Using domain knowledge in knowledge discovery, Proc. Eighth Int. Conf. Information and Knowledge Management (ACM Press, 1999).