Knowledge Discovery in Databases.
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Knowledge Discovery in Databases (KDD)
The following topics are covered in this lecture:
- The particular challenges of data mining on large sets of data.
- The technologies available for data analysis.
- Systems offering these technologies.
- The process of data mining.
- Applications.
Please note, that this lecture is an informal overview rather then a formal introduction into the topic.
Lecture slides
- Prologue.
- Introduction.
- Data.
- Preprocessing.
- OLAP.
- Frequent patterns.
- Classification.
- Cluster analysis.
- Outlier detection.
References
- Han Jiawei, Kamber Micheline, Pei Jian: Data Mining: Concepts and Techniques. 3rd ed. Waltham, M.A.: Morgan Kaufmann, 2012 (The Morgan Kaufmann Series in Data Management Systems).
- Witten Ian, Frank Eibe, Hall Mark: Data Mining. Practical Machine Learning Tools and Techniques. 3rd ed. Burlington, M.A.: Morgan Kaufmann, 2011 (The Morgan Kaufmann Series in Data Management Systems).
- Du Hongbo: Data Mining Techniques and Applications. Andover, UK: Cengage Learning, 2010.