Databases Reference
In-Depth Information
36. Pechenizkiy, M., Puuronen, S., Tsymbal, A.: Why Data Mining Does Not Con-
tribute to Business?,
DMBiz'05: Proceedings of Data Mining for Business Work-
shop
, 2005, 67-71
37. Reinartz, T.:
Focusing Solutions for Data Mining: Analytical Studies and Ex-
perimental Results in Real-World Domains
, Springer, Berlin Heidelberg New
York, 1999
38. Tan, P.-N., Kumar, V., Srivastava, J.: Selecting the Right Objective Measure
for Association Analysis,
Information Systems
,
29
(4), 2004, 293-313
39. Vapnik, V. N.:
The Nature of Statistical Learning Theory
,
Springer, Berlin
Heidelberg New York, 1995
40. Wu, X., Yu, P. S., Piatetsky-Shapiro, G., Cercone, N., Lin, T. Y., Kotagiri, R.,
Wah, B. W.: Data Mining: How Research Meets Practical Development?,
Knowledge and Information Systems
,
5
(2), 2003, 248-261
41. Yao, J. T., Yao, Y. Y.: A Granular Computing Approach to Machine Learning,
FSKD'02: Proceedings of the First International Conference on Fuzzy Systems
and Knowledge Discovery
, 2002, 732-736
42. Zadeh, L. A.: Toward a Theory of Fuzzy Information Granulation and its Cen-
trality in Human Reasoning and Fuzzy Logic,
Fuzzy Sets Systems
,
90
(2), 1997,
111-127
