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IRDM WS 2013/14

Core Lecture "Information Retrieval and Data Mining" WS 2013/14

Lecturers

Dr. Klaus Berberich and Dr. Pauli Miettinen

Teaching Assistants

Kai Hui
Sourav Dutta
Amy Siu
Kaustubh Beedkar
Arunav Mishra

Lectures


Office Hours


News & Announcements

Schedule & Slides


Assignments



Tests

Quiz & Solutions


Tutoring Groups

Content

The lecture teaches mathematical models and algorithms that form the basis of 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), probability theory and statistics (e.g. Bayesian networks and Markov chains), and combinatorics.

Grading System

Literature


Further Reading


Background on Statistics and Probability Theory