Data Mining II
In Data Mining I, basic data mining/ machine learning tasks and techniques are introduced. However, the volume, variety, velocity and veracity of the data generated by modern applications introduces challenges which go beyond those techniques.
The focus of this course is on the challenges introduced due to the modern data characteristics and on methods and techniques for mining large complex datasets. This includes both adaptation of old techniques to deal with modern data challenges but also new methods and techniques that were explicitly introduced for such sort of data.
In this course we will cover advanced data mining/ machine learning techniques to handle large data volumes, volatile data streams and complex object descriptions. These topics cover the Volume, Velocity and Variety aspects of Big Data and comprise major challenges for big data analytics.
ECTS points: 5
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