Automated analysis of natural language texts is one of the most important knowledge discovery tasks for any organization. According to Gartner Group, almost 90% of knowledge available at an organization today is dispersed throughout piles of documents buried within unstructured text. Analyzing...

Cluster analysis classifies a set of observations into two or more mutually exclusive unknown groups based on combination of interval variables and it has proven to be very useful. The classification aim is grouping the objects between their similarities or dissimilarities and so providing a...

This paper focuses on the two-side practical approach of credit-scoring models: corporate default prediction and corporate economical performance hierarchization. Taking as database the most 9 representative listed companies on the Bucharest Stock Exchange within the equipment field, the...