ABSTRACT
Much of the discussion in Appendix A has been on data management. As stated throughout this book we have taken a data-oriented perspective of data mining. As a result, we have given considerable attention to database systems, data warehousing and data management in general. However, data mining also has contributions from many other technologies. One such technology is machine learning. We provided an overview of machine learning in Chapter 4 and continued to discuss various machine learning techniques for data mining. Machine learning has roots in Artificial Intelligence, popularly known as AI. AI is all about making machines think and behave like humans. Researchers from various fields such as logic, philosophy, pattern recognition, language processing, speech processing, cognitive psychology and mathematics have contributed to artificial intelligence. It has roots in some of the early work in logic and philosophy starting in the nineteenth century and has subsequently involved researchers in other fields. AI has now evolved into various areas such as machine learning, knowledge management, expert systems, intelligent systems, and data mining and knowledge discovery. Perhaps the most significant paper in the history of AI is Alan Turing’s paper on making machines think published in 1947.
