Data mining (Informationsutvinning)
You´ve probably used a search engine, like Google. It is pretty accurate and more often than not finds the desired information in almost no time searching through an awful lot of data "out there" which is continuously updated. How exactly does it do it? Is it really based on a Web searching technique that works "for real", or is it a plot by a secret agency that has anticipated every query anyone will ever ask? Can we design a better search engine?
The course answers these questions and covers the fundamentals of the data mining (DM) field, which combines techniques from databases, statistics, machine learning, and information retrieval.
Data mining, or knowledge discovery from data repositories, has during the last few years emerged as one of the most exciting fields in computer science.
It develops techniques to organize information, and to search and find interesting correlations in large quantities of data.
Interest in the field is motivated by the growth of computerized data collections which are routinely kept by many organizations, and by the high potential value of patterns discovered in those collections. For instance, bar code readers at supermarkets produce extensive amounts of data about purchases. An analysis of this data can reveal previously unknown, yet useful information about the shopping behavior of its customers. It also brings up all sorts of interesting ethical questions about privacy. After taking the course you might think twice before using your `ICA kort´ next time! Prerequisites: 120 hp courses in technology or science, including programming, data structures, algebra and statistics. Goal: Learn about how to efficiently perform classification, clustering, association rule mining, Web searching, and the technology used by modern search engines.