A neural clustering and classification system for sales forecasting of new apparel items

Building comprehensible customer churn prediction models with advanced rule induction techniques

“…Note that churn prediction is just one of the applications of data mining for 0957-4174/$ -see front matter Ó 2010 Elsevier Ltd. All rights reserved. doi:10.1016/j.eswa.2010.08.023 marketing, others include customer lifetime value prediction (Glady, Baesens, & Croux, 2009), frequent itemset mining (Agrawal & Srikant, 1994) and sales forecasting (Thomassey & Happiette, 2007).…”

A two-stage dynamic sales forecasting model for the fashion retail

“…Zhu and Yan (2004) provided a portfolio selection method for model base evaluation, which adopts satisfaction weighting and decides the participation of meta-model. Thomassey and Happiette (2007) proposed NCC model based on neural technique (Self-Organizing Map and Probabilistic Neural Network) to estimate sales profiles of new items in the Textile-ApparelDistribution network.…”

An improved sales forecasting approach by the integration of genetic fuzzy systems and data clustering: Case study of printed circuit board

“…The experimental results showed that the performance of the hybrid model was superior to other models such as ARMAX. Thomassey and Happiette (2007) also proposed a hybrid sales forecasting model, based on clustering and Probabilistic Neural Network in textile industry and they concluded the proposed model enabled an accurate estimation of the behavior of future sales.…”