| Data Mining An intensive 5-day introduction to methods and applications IKAT, Universiteit Maastricht Tongersestraat 6, Maastricht June 27 - July 1, 2005 Introduction Data mining is a relatively new scientific field that enables finding interesting knowledge (patterns, models and relationships) in very large databases. It is the most essential part of the knowledge-discovery process and has the potential to predict events or to analyse them in retrospect. Data mining has elements of databases, statistics, artificial intelligence, and machine learning. Why Data Mining A typical database contains data, information or even knowledge if the appropriate queries are submitted and answered. The situation changes if you have to analyse large databases with many variables. Elementary database queries and standard statistical analysis are not sufficient to answer your information need. Your intuition guides you to understand that the database contains more knowledge on a specific topic that you would like to know explicitly. Data mining can assist you in discovering this knowledge. The course shows you within five days how this works. You will learn new techniques, new methods, and tools of data mining. Hands-on education is involved. Course Description The course focuses on techniques with a direct practical use. A step-by-step introduction to powerful (freeware) data-mining tools will enable you to achieve specific skills, autonomy and hands-on experience. A number of real data sets will be analysed and discussed. In the end of the course you will have your own ability to apply data-mining techniques for research purposes and business purposes. Course Content The Knowledge Discovery Process Preparing Data for Mining Basic Techniques for Data Mining: Decision-Tree Induction Rule Induction Instance-Based Learning Neural Networks Bayesian Learning Support Vector Machines Ensemble Techniques Clustering Association Rules Tools for Data Mining How to Interpret and Evaluate Data-Mining Results Intended Audience This course is intended for four groups of data-mining beginners: students, scientists, engineers and experts in specific fields who need to apply data-mining techniques to their scientific research, business management, or other related applications. Prerequisites The course does not require any background in databases, statistics, artificial intelligence, or machine learning. A general background in science is sufficient as is a high degree of enthusiasm for new scientific approaches. Costs Academic fee € 500,- Non-academic fee € 750,- Included in the price are: Course material Coffee en tea during the course One dinner The local cafeteria will be available for lunch (not included). Participating in this course is a part of the advanced components stage of SIKS' educational program. SIKS has reserved a number of places for those Ph.D-students working on the course topics. Certificate Upon request a certificate of full participation will be provided after the course. | |
