USING THE LISP-MINER SYSTEM FOR CREDIT RISK ASSESSMENT

Building Credit Scorecards Using Credit Scoring for SAS Enterprise Miner

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

Building Credit Scorecards Using Credit Scoring for SAS(R) Enterprise Miner(TM)

Predicting the Credit Risk of Loans Using Data Mining Tools

 One of the most common causes or credit phenomenon that is taken into account for credit risk is the customer’s noncompliance with the commitments. Thus, by predicting the behavior of loan applicants, the growth rate of debts can be decreased. Hence, this study is conducted on corporate applicants for loans in one of the public banks in Iran. In this paper, the main elements comprising the cus...

LISp-Miner Control Language description of scripting language implementation

This paper introduces the LISp-Miner Control Language – a scripting language for the LISpMiner system, an academic system for knowledge discovery in databases. The main purpose of this language is to provide programmable means to all the features of the LISp-Miner system and mainly to automate the main phases of data mining – from data introduction and preprocessing, formulation of analytical t...