He has been involved in many data mining projects for clients from government and industry over his long career. Graham regularly teaches data mining courses and is author of the freely available, open source data mining system, Rattle. He is also Visiting Professor and Senior International Scientist with the Shenzhen Institutes of Advanced Analytics of the Chinese Academy of Sciences, Adjunct Professor, Data Mining, Fraud Prevention, Security, University of Canberra, and Adjunct Professor, Australian National University. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.ĭr Graham Williams is Senior Director of Analytics with the Australian Taxation Office, and previously Principal Computer Scientist for Data Mining with CSIRO. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The focus on doing data mining rather than just reading about data mining is refreshing. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. Data mining is the art and science of intelligent data analysis.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |