Knowledge management challenges in knowledge discovery systems

Proceedings - International Workshop on Database and Expert Systems Applications, DEXA

Volumn 2006, Issue , 2005, Pages 433-437

  Pechenizkiy, Mykola ^a   Tsymbal, Alexey ^b   Puuronen, Seppo ^a  

^a UNIVERSITY OF JYVÄSKYLÄ   (Finland)

^b TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING TECHNIQUES; KNOWLEDGE CAPTURE; KNOWLEDGE DISCOVERY SYSTEMS; SYSTEMATIC PROCESS;

DATA MINING; DATABASE SYSTEMS; INFORMATION TECHNOLOGY; KNOWLEDGE ACQUISITION; KNOWLEDGE ENGINEERING; PROBLEM SOLVING; STRATEGIC PLANNING;

KNOWLEDGE BASED SYSTEMS;

EID: 33747172427     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2005.124     Document Type: Conference Paper

References (16)

1. CRISP-DM: 1.0 Step-by-step DM guide, SPSS Inc.
2. Fayyad, U.M. "Data Mining and Knowledge Discovery: Making Sense Out of Data", IEEE Expert 11(5), 1996, pp. 20-25.
3. Fayyad, U.M., Uthurusamy, R. "Evolving data into mining solutions for insights", Communications of the ACM 45(8), 2002, pp. 28-31.
4. Dietterich, T.G. "Machine Learning Research: Four Current Directions", AI Magazine 18 (4), 1997, pp. 97-136.
5. Kalousis, A. "Algorithm Selection via Meta-Learning", University of Geneve, PhD Thesis, 2002.
6. Kiang, M. "A comparative assessment of classification methods", Decision Support Systems 35, 2003, pp. 441-454.
7. King, W., Marks, P., McCoy, S. "The most important issues in knowledge management", Communications of the ACM 45(9), 2002, pp. 93-97.
8. Leake, D., Sooriamurthi, R., "Automatically Selecting Strategies for Multi-Case-Base Reasoning". In: Proc. ECCBR 2002, LNCS 2416, 2002, pp. 204-233.
9. Lindner, G., Studer, R. "AST: Support for algorithm selection with a CBR approach", In Proc. of the 3rd PKDD Conference, 1999, pp. 418-423.
10. Michalski, R.S. "Seeking Knowledge in the Deluge of Facts", Fundamenta Informaticae 30, 1997, pp. 283-297.
11. Minsky, M. "Logical Versus Analogical or Symbolic Versus Connectionist or Neat Versus Scruffy", AI Magazine 12(2), 1991, pp. 34-51.
12. Piatetsky-Shapiro, G. "Knowledge Discovery in Databases: 10 years after", SIGKDD Explorations 1(2), 2000, pp. 59-61.
13. Reinartz, T. Focusing Solutions for Data Mining. LNAI 1623, Berlin Heidelberg, 1999.
14. Schmidhuber, J., Zhao, J., Wiering, M. "Simple principles of metalearning", Technical Report IDSIA-69-96, 1996.
15. Tsymbal, A. "Dynamic Integration of Data Mining Methods in Knowledge Discovery Systems", PhD Thesis. University of Jyväskylä, Finland, 2002.
16. Zack, M. "Managing codified knowledge", Sloan Management Review 40(4), 1999, pp. 45-58.