Data mining is a major frontier field of computer science. It allows extracting useful and interesting patterns and knowledge from large data repositories such as databases and the Web. Data mining integrates techniques from the fields of databases, machine learning, statistics, and artificial intelligence. This course will present the state-of-the-art techniques of data mining. The lectures and labs will emphasize the practical use of the presented techniques and the problems of developing real data-mining applications. A step-by-step introduction to data-mining environments will enable the students to achieve specific skills, autonomy, and hands-on experience. A number of real data sets will be analysed and discussed.
Prerequisites
None.
Recommended reading
Pang-Ning, T., Steinbach, M., Karpatne, A., and Kumar, V. (2018). Introduction to Data Mining, 2nd Edition, Pearson, ISBN-10: 0133128903, ISBN-13: 978-0133128901
More information at: https://curriculum.maastrichtuniversity.nl/meta/462683/data-mining
