Databases Reference
In-Depth Information
16. Hand, D. J.: Data Mining: Statistics and More?,
The American Statistician
,
52
, 1998, 112-118
17. Hand, D. J.: Statistics and Data Mining: Intersecting Disciplines,
SIGKDD
Explorations
,
1
, 1999, 16-19
18. Hermiz, K. B.: Critical Success Factors for Data Mining Projects,
DM Review
,
February 1999
19. Hevner, A. R., March, S. T., Park, J., Ram, S.: Design Science in Information
Systems Research,
MIS Quarterly
,
26
(1), 2004, 75-105
20. Iivari, J., Hirschheim, R., Klein, H. K.: A Paradigmatic Analysis Contrasting
Information Systems Development Approaches and Methodologies,
Information
Systems Research
,
9
(2), 1998, 164-193
21. Imielinski, T., Mannila, H.: A Database Perspective on Knowledge Discovery,
Communications of ACM
,
39
(11), 1996, 58-64
22. Ives, B., Hamilton, S., Davis, G. B.: A Framework for Research in Computer-
based Management Information Systems,
Management Science
,
26
(9), 1980,
910-934
23. Jarvinen, P.:
Research methods
, Opinpaja, Tampere, Finland, 2002, (http://
www.uta.fi/pj/)
24. Jarvinen, P.:
Action Research as an Approach in Design Science
, Technical
Report TR D-2005-2, Department of Computer Science, University of Tampere,
Finland, 2005
25. Nunamaker, J. F., Chen, M., Purdin, T. D. M.: Systems Development in Infor-
mation Systems Research,
Journal of Management Information Systems
,
7
(3),
90/91, 89-106
26. Kleinberg, J., Papadimitriou, C., Raghavan, P.: A Microeconomic View of Data
Mining,
Data Mining and Knowledge Discovery
,
2
(4), 1998, 311-324
27. Lin, T. Y.: Granular Computing of Binary Relations I: Data Mining and Neigh-
borhood Systems,
Rough Sets and Knowledge Discovery
(Polkowski, L. Skowron
A., Eds.), Physica, Heidelberg, 1998, 107-140
28. Lin, T. Y.: Data Mining: Granular Computing Approach,
PAKDD'99: Proceed-
ings of third Pacific-Asia Conference, Methodologies for Knowledge Discovery
and Data Mining
, 1999, 24-33
29. Lyytinen, K.: Different Perspectives on Information Systems: Problems and So-
lutions,
ACM Computing Surveys
,
19
(1), 1987, 5-46
30. Mannila, H.: Theoretical Frameworks for Data Mining,
SIGKDD Explorations
,
1
(2), 2000, 30-32
31. Mason, R.: Experimentation and Knowledge - A Paradigmatic Perspective,
Knowledge: Creation, Diffusion, Utilization
,
10
(1), 1988, 3-24
32. Mehta, M., Rissanen, J., Agrawal, R.: MDL-Based Decision Tree Pruning,
KDD'95
, 1995, 216-221
33. Michalski, R. S.: Seeking Knowledge in the Deluge of Facts,
Fundamenta Infor-
maticae
,
30
(3-4), 1997, 283-297
34. Pechenizkiy, M., Puuronen, S., Tsymbal, A.: The Iterative and Interactive Data
Mining Process: The ISD and KM Perspectives,
FDM'04: Proceedings of Foun-
dations of Data Mining Workshop
, 2004, 129-136
35. Pechenizkiy, M., Puuronen, S., Tsymbal, A.: Competitive Advantage from Data
Mining: Lessons Learnt in the Information Systems Field,
DEXA'05 Workshop:
Philosophies and Methodologies for Knowledge Discovery (PMKD'05)
, IEEE CS
Press, New York, 2005, 733-737, (Invited Paper)