The amount of data that is produced
and stored by organisations is still growing almost
This data needs to be processed and analysed to turn
it into information and knowledge.
Knowledge thus obtained can improve our understanding and support decision making.
Some problems that data mining can help to solve:
- For an incoming e-mail message, determine
whether it's spam or not.
- Identify the risk factors for prostate
cancer on the basis of clinical and demographic variables.
- Make a segmentation
into groups of similar customers on the basis of their characteristics and
- Which products are typically bought
together in one transaction by customers?
Learning models from data can be an
important part of building an intelligent decision support system. In turn, the
computer plays an increasingly important role in data analysis:
through the use of computers, computationally expensive data mining methods can
be applied that were not even considered in the early days of statistical data
In this course we study a
number of well-known data mining algorithms. We discuss what type of problems
they are suited for, their computational complexity and how to interpret
and apply the models constructed with them.