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RISGoing Concern Prediction of Iranian Companies by Using Fuzzy C-Means
Decision-making problems in the area of financial status evaluation have been considered very important. Making in- correct decisions in firms is very likely to cause financial crises and distress. Predicting going concern ...
Management Assessment of Going Concern Based on Data Mining Using Adaptive Network Based Fuzzy Inference Systems (ANFIS)
Going concern is a fundamental concept for the preparation of financial statements by management. This paper has employed a data mining approach for going concern prediction (GCP) and has applied Adaptive Network Based Fuzzy Inference Systems (ANFIS...
Financial Distress Prediction of Iranian Companies by Using Data Mining Techniques
Decision-making problems in the area of financial status evaluation are considered very important. Making incorrect decisions in firms is very likely to cause financial crises and distress. Predicting financial distress ...
Data Mining Approach Using Practical Swarm Optimization (PSO) to Predicting Going Concern: Evidence from Iranian Companies
Purpose - Going concern is one of fundamental concepts in accounting and auditing and sometimes the assessment of a company’s going concern status that is a tough process. Various going concern prediction models’ based on statistical and data mining...
Data Mining Approach to Prediction of Going Concern Using Classification and Regression Tree (CART)
This paper has employed a data mining approach for Going Concern Prediction (GCP) for one year ahead and has applied Classification and Regression Tree (CART) and Naïve Bayes Bayesian Network (NBBN) based on feature selection method in Iranian firms...