Applications of Intelligent Technologies in Retail Marketing

[1]  Mònica Casabayó,et al.  Using AI Techniques in the Grocery Industry: Identifying the Customers Most Likely to Defect , 2004 .

[2]  William Nick Street,et al.  An intelligent system for customer targeting: a data mining approach , 2004, Decis. Support Syst..

[3]  Thomas Reutterer,et al.  An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data , 2003 .

[4]  Derrick S. Boone,et al.  Retail segmentation using artificial neural networks , 2002 .

[5]  R. Clemen,et al.  Soft Computing , 2002 .

[6]  Bart Baesens,et al.  Bayesian neural network learning for repeat purchase modelling in direct marketing , 2002, Eur. J. Oper. Res..

[7]  Ronald R. Yager,et al.  Targeted E-commerce Marketing Using Fuzzy Intelligent Agents , 2000, IEEE Intell. Syst..

[8]  Rafik A. Aliev,et al.  Soft computing based multi-agent marketing decision support system , 2000, J. Intell. Fuzzy Syst..

[9]  D. Agrawal,et al.  Market share forecasting: An empirical comparison of artificial neural networks and multinomial logit model , 1996 .

[10]  Christopher M. Miller,et al.  Applying case-based reasoning to forecasting retail sales , 1993 .

[11]  Fatemeh Zahedi,et al.  An Introduction to Neural Networks and a Comparison with Artificial Intelligence and Expert Systems , 1991 .

[12]  M. Qi,et al.  Forecasting Aggregate Retail Sales: a Comparison of Arti"cial Neural Networks and Traditional Methods , 2001 .

[13]  Nigel Kenneth Pope,et al.  An Overview of Data Mining Techniques from an Adaptive Systems perspective , 2000 .

[14]  John P. Gallagher,et al.  Expert Systems for Scanner Data Environments , 1990 .