Data Mining
Volledige vakbeschrijving
Data mining is a major frontier field of computer science that studies the extraction of useful and interesting patterns from large collections of data. This course consist of a step-by-step introduction to data- mining systems. This includes a discussion of the process of acquiring raw data, as well as several pre-processing techniques. Several data- mining techniques are discussed, varying from basic models to state-of- the-art techniques . For each technique various characteristics will be highlighted which help one decide which technique to use. Several evaluation criteria will be discussed which help one decide whether the data-mining system is producing useful patterns. The lectures and labs will emphasize the practical use of the presented techniques and the problems of developing real data-mining applications. A number of real data sets will be analyzed and discussed. After completing this course students will have obtained a preliminary methodological and theoretical bases for studying and applying data mining techniques to large collections of data.Voorwaarden
None.Aanbevolen literatuur
I.H. Witten and E. Frank (2005). Data Mining: Practical Machine Learning Tools and Techniques (Second Edition), Morgan Kaufmann, June 2005, ISBN 0-12-088407-0 T. Mitchell (1997). Machine Learning, McGraw-Hill, ISBN 0-07-042807-7.KEN4113
Periode 1
2 sep 2024
25 okt 2024
Studiepunten:
6.0Taal van de opleiding:
EngelsCoördinator:
Onderwijsmethode:
PBL