120 credits with 25 credits in mathematics, including mathematical statistics, 45 credits in computer science and/or engineering, including Database Design I and a second course in computer programming. Algorithms and Data Structures I is recommended. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Data mining studies effective methods to find interesting patterns in large data sets. Applications can be found in biotechnology, telecom, commerce, and the internet. This course introduces the terminology, an overview of the various kinds of data and their properties, and classification and clustering methods. Furthermore, it treats data on the web, search engines and personal integrity. Techniques from databases, statistics, machine learning and information retrieval are combined.
