This paper presents a comprehensive review of the work done, during the 1968–2005, in the
application of statistical and intelligent techniques to solve the bankruptcy prediction …

Fashion is one of the most challenging categories for forecasting demand. Our study
provides a systematic literature review of the different forecasting techniques used in the …

In this research, a hybrid model is developed by integrating a case-based data clustering
method and a fuzzy decision tree for medical data classification. Two datasets from UCI …

Competition and globalization imply a very accurate production and sourcing management
of the Textile–Apparel–Distribution network actors. A sales forecasting system is required to …

В статье анализируется применимость ряда зарубежных и отечественных моделей
прогнозирования вероятности банкротства к российским предприятиям. Представлены …

This paper presents a soft computing based bank performance prediction system. It is an
ensemble system whose constituent models are a multi-layered feed forward neural network …

In this paper, we compare two different approaches to estimate the credit risk for small-and
mid-sized businesses (SMBs), namely a classic parametric approach, by fitting an ordered …

This manuscript is devoted to the issue of forecasting corporate bankruptcy. Determining a
firm's bankruptcy risk is one of the most interesting topics for investors and decision-makers …

The Textile-Apparel-Distribution network actors require a very accurate production and
sourcing management to minimize their costs and satisfy their customers. For a such …

We apply a machine learning (ML) algorithm in order to predict bankruptcy rates among
companies within the Spanish economy from 1992 to 2016. The model identifies some …