DATA SCIENCE AND KNOWLEDGE DISCOVERY THROUGH DATA MINING PARADIGMS

Current trends in software development have shown a strong move towards autonomous and rational mechanism for the human societal growth. Customer behavior analysis and its knowledge have always been given its due importance in research community to develop real life practical solutions. In this scenario a real-world phenomenon of customer buying habits is tested through observations lying in the database and is experimented and validated through association mining. On the flip side of the coin, the development of intellectual and evolutionary data mining tool for retail industries through the machine learning algorithm has always been proved to adequately respond to environment changes and improve its behavioral rules to derive intelligent quotient. A case study of Market basket analysis is simulated to imitate customer behavior in the dynamic environment to predict about rational and intelligent behavior for future business expansion.