Course title in Estonian
Infootsing ja andmekaeve
Course title in English
Information Retrieval and Data Mining
Assessment form
Examination
lecturer of 2026/2027 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2026/2027 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
The course is aimed at study of information retrieval and data mining basic concepts, techniques and areas of application. It is about how to find relevant information and subsequently extract meaningful patterns out of it.
Brief description of the course
Understanding data. Preparation. Modelling. Evaluation of results. Applications. Textual document indexing, relevance ranking, web usage mining, text analytics, as well as their performance evaluations. Web search engines and data mining applications.
Learning outcomes in the course
Upon completing the course the student:
- understand the common techniques for information retrieval (document indexing and retrieval, query processing, etc);
- understands the quantitative evaluation methods for the IR systems and data mining techniques;
- knows the popular probabilistic retrieval methods and ranking principles;
- knows the techniques and algorithms existing in practical retrieval and data mining systems such as those in web search engines and recommender systems;
- understands the challenges and existing techniques for the emerging topics of MapReduce, portfolio retrieval and online advertising.
Study programmes containing that course