MITCHELL T M.机器学习[M].北京:机械工业出版社,2003.204-208.MITCHELL TM. Machine Learning[M]. Beijing:China Machine Press,2003. 204-208. (in Chinese)
[2]
QUINLAN J R. Learning logical definitions from relations[J]. Machine Learning, 1990, 5: 239-266.
[3]
QUINLAN J R,CAMERON-JONES R M. Induction of logic programs: FOIL and related systems[J]. New GenerationComputing, 1995, 13:287-312.
[4]
KAMAL Ali. Learning probabilistic relational concept descriptions[D]: [dissertation]. Irvine: University of California,1996.
[5]
ZHONG N, DONG J Z, LIU C, et al. A hybrid model for rule discovery in data[A]. In: ZIARKO W, YAO Y. RoughSets and Current Trends in Computing: Second International Conference[C]. Heidelberg: Springer-Verlag, 2001.436-444.
[6]
ZHONG N, DONG J Z, OHSUGA S. A hybrid approach to rule discovery in databases[J]. Information Sciences, 2000, 126(1-4): 99-127.
[7]
ZHONG N, DONG J Z, OHSUGA S. Data mining based on the generalization distribution table and rough sets[A]. In:WU X. Research and Development in Knowledge Discovery and Data Mining[C]. Berlin: Springer-Verlag, 1998. 360-373.
[8]
ZHONG N, DONG J Z, OHSUGA S. Data mining: A probabilistic rough set approach [A]. In: POLKOWSKI L,SKOWRON A. Studies in Fuzziness and Soft Computing Series[C]. Heidelberg: Physica-Verlag, 1998. 127-146.
[9]
尹旭日,赵志宏,商琳,等.基于GDT的不完整信息系统规则发现[J].计算机研究与发展,2001.38(11):1290-1294.YIN Xu-ri, ZHAO Zhi-hong, SHANG Lin, et al. Rules discovery from incomplete information system by GDT approach[J]. Journal of Computer Research and Development, 2001, 38(11): 1290-1294. (in Chinese)