Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and explore our world. Data mining can improve our business, improve our government, and improve our life and with the right tools, any one can begin to explore this new technology, on the path to becoming a data mining professional. This book aims to get you into data mining quickly. Load some data (e.g., from a database) into the Rattle toolkit and within minutes you will have the data visualised and some models built. This is the first step in a journey to data mining and analytics. The book encourages the concept of programming by example and programming with data - more than just pushing data through tools, but learning to live and breathe the data, and sharing the experience so others can copy and build on what has gone before. It is accessible to many readers and not necessarily just those with strong backgrounds in computer science or statistics. Details of some of the more popular algorithms for data mining are very simply and, more importantly, clearly explained. Technology for transforming a database through data mining and machine learning into knowledge is now readily accessible.
Graham J Williams is the author of Data Mining with Rattle and R. He is Director of Data Mining with the Australian Taxation Office. He is also a Visiting Professor with the Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences and Adjunct Professor, Data Mining, Fraud Prevention, Security, at the Australian National University and the University of Canberra.
Graham is an active research in machine learning and regularly teaches data mining courses. He has been involved in many data mining projects for clients from government and industry over his 30 year career. His research developments include ensemble learning and hot spots discovery. He is chair of the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), and the Australasian Conference on Data Mining (AusDM).
Graham's current focus is on ensuring data mining technology is freely available to all and to support innovation and to freely share knowledge.
