Extracting predictors of corporate bankruptcy: Empirical study on data mining metliods

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1805, Issue , 2000, Pages 204-207

  Shirata, Cindy Yoshiko ^a   Terano, Takao ^b  

^a Tsukuba College of Technology Japan   (Japan)

^b UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

FINANCE;

DISCRIMINANT POWER; EMPIRICAL STUDIES; FINANCIAL DATA; FINANCIAL RATIOS; FINANCIAL VARIABLES; LOGIT MODELING;

DATA MINING;

EID: 84942746946     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45571-x_25     Document Type: Conference Paper

References (4)

1. Quinlan, J.R.: Introduction of decision trees. Machine Learning 1 (1986) 81-106.
2. Terano, T., Ishino Y.,: Interactive Generic Algorithm Based Feature Selection and its Application to Marketing Data Analysis. Feature Extraction, Construction and Selection: A Data Mining Perspective, Massachusetts (1998) 393-406.
3. Breimann, L., J.H. Frieman, R.A. Olshen, and C.J. Stone: Classification and Regression Trees. Chapman & Hall, London (1984).
4. Altman, E., R. G. Haldeman and P. Narayanan: ZETA Analysis: A new model to indentify bankruptcy risk of corporations, Journal of Banking and Finance Vol.1, June (1977) 35.