732A32 Data mining project
The aim of this course is that, after its completion, the student is able to
- apply previously obtained knowledge in the field of data mining in a real setting,
- plan, perform and report on an individual task, and
- demonstrate insight in research and development work.
Projects available (do not forget to submit your project proposal before you get started, read more on this on the Examination section):
- Your own project.
- Analysis of predictive power of data mining algorithms with embedded monotonicity constraints, supervised by Oleg Sysoev.
- Various topics on probabilistic graphical models such as Bayesian and Markov networks, supervised by Jose M. Peña.
- Interaction between databases and data mining, supervised by Jose M. Peña.
- Detection of anomalies in data from Automatic Identification System (AIS) for shipping, supervised by Anders Grimvall.
- Visualizing text using wordclouds using ggplot2, supervised by Måns Magnusson.
- Analyzing the political topics of the Swedish Riksdag, supervised by Måns Magnusson.
- Literature survey on data mining and machine learning methods for big data, supervised by Niklas Carlsson.
Page responsible: Jos?M Pena
Last updated: 2016-08-18