Data Mining in Practice

Organised by the Computer Science Department of K.U.Leuven.

Modern information and communication technology is increasingly capable of collecting and generating large amounts of data that need to be analyzed to become useful or profitable. In fact, these amounts quickly become too large for immediate human understanding, leading to a situation in which "we are drowning in data but starved for knowledge".

Data mining represents an essential technology to transform such data into knowledge. It allows the automated discovery of interesting regularities or anomalies in large databases, thereby surpassing standard statistical summarizing. Typical tasks include the construction of predictive and descriptive models for classification, regression, clustering, associations, and probabilistic inference.

The course provides a gentle introduction to data mining for professionals who need to analyze data themselves, interpret results obtained using data mining techniques, or give guidance to data analysts. The course introduces the principles, techniques and methodology of data mining. It provides the attendants with an overview of the wide variety of data mining techniques available, insight in which techniques are useful for what kind of tasks, and expertise with practical data mining tools.

For more information and registration details, please refer to the course website: http://dtai.cs.kuleuven.be/DataMiningInPractice.

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