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Core Lecture "Information Retrieval and Data Mining" WS 2007/08

Lecturer: Prof. Dr.-Ing. Gerhard Weikum

Teaching assistants:
Ralitsa Angelova
Georgiana Ifrim
Gjergji Kasneci
Gerard de Melo

Content:

The lecture teaches mathematical models and algorithms that form the basis for search engines for the Web, intranets, and digital libraries and for data mining and analysis tools. Information Retrieval and Data Mining are technologies for searching, analyzing and automatically organizing text documents, multi-media documents, and structured or semistructured data.

Prerequisites:

Students planning to attend the course should be familiar with basic models and methods from linear algebra (e.g. singular-value decomposition) as well as probability theory and statistics (e.g. Bayesian networks and Markov chains).

Requirements for Passing the Course and Grading System:


Slides:


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Organization:


Literature