291
tive Learning of Monotone Boolean Function // Information Sciences. 1996.
Vol. 94, issue 1–4, P. 87–118.
124.
Kovalerchuk B., Triantaphyllou E., Ruiz J. Monotonicity and logical
analysis of data: a mechanism for evaluation of mammographic and clinical
data, in Kilcoyne RF, Lear JL, Rowberg AH (eds): Computer applications to
assist radiology, Carlsbad, CA, Symposia Foundation. 1996. P. 191–196.
125.
Kovalerchuk B., Triantaphyllou E., Ruiz J., Clayton J. Fuzzy Logic in
Computer-Aided Breast Cancer Diagnosis: Analysis of Lobulation // Artificial
Intelligence in Medicine. № 11. P. 75–85.
126.
Kovalerchuk B., Conner N., Ruiz J., Clayton J. Fuzzy logic for formal-
ization of breast imaging lexicon and feature extraction // 4th Intern. Workshop
on Digital Mammography, June 7–10, University of Nijmegen, Netherlands,
1998.
127.
Kovalerchuk, B., Vityaev, E. Detecting patterns of fraudulent behavior
in forensic accounting // Proc. of the Seventh International Conference "Knowl-
edge-based Intelligent Information and Engineering on Systems", Oxford, UK,
Sept, 2003. Part 1. P. 502–509.
128.
Kovalerchuk B., Vityaev E. Data mining in finance: From extremes to
realism // Journal of Financial Transformation. 2004. Vol. 11, August. P. 81–89.
129.
Krantz D.H., Luce R.D., Suppes P., Tversky A. Foundations of Meas-
urement. Acad. Press, N.Y.; L. 1971; 1989; 1990. Vol. 1–3.
130.
Kretschmann E., Fleischmann W., Apweiler R. Automatic rule genera-
tion for protein annotation with the C4.5 data mining algorithm applied on
SWISS-PROT Bioinformatics. 2001. Vol. 17. P. 920–926.
131.
Logvinenko A.D., Byth W., Vityaev E.E. We can order stimuli even
when we are not able to see them: An evidence in favour of fuzzy sensory
threshold // Perception and Psychophysics. 1997.
132.
Mooney R., Ourston D. Induction over the unexplained: Integrated
learning of concepts with both explainable and conventional aspects // Proceed-
ings of the Sixth International Workshop on Machine Learning. Ithaca. N.Y.:
Morgan Kaufmann, 1989. P. 5–7.
133.
Muggleton S. Bayesian inductive logic programming // Proceedings of
the Eleventh International Conference on Machine Learning W. Cohen and H.
Hirsh, Eds. 1994. P. 371–379.
134.
Muggleton S. Scientific Knowledge Discovery Using Inductive Logic
Programming // Communications of ACM. 1999. Vol. 42, N 11, P. 43–46.
135.
Muggleton S., Buntine W. Machine invention of first-order predicates
by inverting resolution // Proceedings of the Fifth International Workshop on
Machine Learning. Ann Arbor, MI: Morgan Kaufmann. 1988. P. 339–352.
136.
Muggleton S., King R.D., Sternberg M. J. E. Protein secondary struc-
ture prediction using logic. Prot. Eng. 5, 7. 1992. P. 647–657.