Time Series Clustering Approach for Decision Support

The 16th International Multi-Conference on Advanced Computer Systems (ACS 2009) 2009
Jurijs Čižovs, Gaļina Kuļešova, Arkādijs Borisovs

Rational pricing strategy is one of the most important problems in economy. Pricing comprises a number of subtasks including product price formation, existing price adjustment and analysis of deviations in wholesale customer behaviour. The object of this study is exploring these tasks. The study is aimed at creating an intelligent technologies based decision support system for solving the above tasks. Solving is based on finding the hidden regularities among the sets of time-series. For that purpose, a number of Data Mining technologies are used. To store the data mined, concepts of classes and behaviour profiles are introduced. Behaviour profiles are employed as the input data of recommendation and decision making module.

Keywords
Temporal Data Mining, Multi-dimensional Time Series, Customer Behavior Pattern, Cluster Analysis

Čižovs, J., Kuļešova, G., Borisovs, A. Time Series Clustering Approach for Decision Support. In: The 16th International Multi-Conference on Advanced Computer Systems (ACS 2009), Poland, Międzyzdroje, 16 Sep-18 Oct., 2009. Międzyzdroje: , 2009, pp.1-9.

Publication language
English (en)