An Decision Support System to Analyse Customer Behaviour Based on Map Reduce Based C4.5 Algorithm

Abstract: Big data is one of the most raising technology trends that have the capability for significantly changing the way business organizations use customer behaviour to analyse and transform it into valuable insights. Also decision trees can be used efficiently in the decision making analysis under uncertainty which provides a variety of essential results. Customer behaviour analytics have implemented in many systems, though still it�s a developing and unexplored market has greater potential for better advancements. One of the major challenges for knowledge discovery and data mining systems stands in developing their data analysis capability to discover out of the ordinary models in the data. The current work proposes an implementation of C4.5 algorithm using Map Reduce. The experimental results reveal that C4.5 algorithm performs better in case of prediction and accuracy for analysing customer behaviour.

Keywords: Big data, Hadoop, Map Reduce, Web mining, C4.5 Algorithm.