Dedicated to my parents, Mr. Ratan Lal and Mrs. Meena Maheshwari.
Abstract Business is the act of doing something productive to serve someone’s needs, and thus earn a living, and make the world a better place. Business activities are recorded on paper or using electronic media, and then these records become data. There is more data from customers’ responses and on the industry as a whole. All this data can be analyzed and mined using special tools and techniques to generate patterns and intelligence, which reflect how the business is functioning. These ideas can then be fed back into the business so that it can evolve to become more effective and ef- ficient in serving customer needs. And the cycle continues on. Business intelligence includes tools and techniques for data gather- ing, analysis, and visualization for helping with executive decision making in any industry. Data mining includes statistical and machine-learning techniques to build decision-making models from raw data. Data mining techniques covered in this book include decision trees, regression, artifi- cial neural networks, cluster analysis, and many more. Text mining, web mining, and big data are also covered in an easy way. A primer on data modeling is included for those uninitiated in this topic. Keywords Data Analytics, Data Mining, Business Intelligence, Decision Trees, Regression, Neural Networks, Cluster analysis, Association rules.
End of preview
Want to access all the pages? Upload your documents or become a member.