Analytics for Business Intelligence and Decision Su pport using Soft Computing approach

This paper describes the generation of information mining, data processing objects, tasks, and classif ication of information mining applications in marketing strategy. It addit ionally discusses several common data processing ways and techniques, and offers the info mining in selling strategy with in the app lication. In this application the neural networks t echnique used in the data mining is very wide. Although neural networks may have complex structure, long training time, and apprehensively perceivable illustration of results, IT has a high acceptance ability for blat ant knowledge and ar preferred in data processing. This data processi ng supported neural networks is analysis intimately, and also th e key technology ways that to attain the info minin g based on neural networks are also researched.

[1]  Tomasz Imielinski,et al.  Database Mining: A Performance Perspective , 1993, IEEE Trans. Knowl. Data Eng..

[2]  Philip S. Yu,et al.  Data Mining: An Overview from a Database Perspective , 1996, IEEE Trans. Knowl. Data Eng..

[3]  Hsinchun Chen,et al.  Business and Market Intelligence 2.0, Part 2 , 2010, IEEE Intelligent Systems.

[4]  Liu Guoxiang,et al.  Data Mining Applications in Marketing Strategy , 2013, 2013 Third International Conference on Intelligent System Design and Engineering Applications.

[5]  Yashpal Singh,et al.  NEURAL NETWORKS IN DATA MINING , 2014 .

[6]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[7]  Joachim M. Buhmann,et al.  Introduction to the special issue on neural networks for data mining and knowledge discovery , 2000 .

[8]  Ming-Syan Chen An Overview from a Database Perspective , 1996 .

[9]  P. Gaur Neural Networks in Data Mining , 2012 .