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| Detecting different types of machines based on usage |
| Keywords | Data Mining. Data representation + |
|---|---|
| Level | Master + |
| OneLineSummary | This project is about studying how can we distinguish among different types of machines based on their usage. + |
| Prerequisites | Good knowledge of machine learning and programming skills for implementing machine learning algorithms + |
| References | 1.- Bengio Y, Courville A, P Vincent P. Re … 1.- Bengio Y, Courville A, P Vincent P. Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence. Volume: 35, Issue: 8, Aug. 2013. 2.- Kotsiantis S. Supervised Machine Learning: A Review of Classification Techniques. Informatica 31 (2007) 249-268 3.- Grira N, Crucianu M, Boujemaa N. Unsupervised and Semi-supervised Clustering: a Brief Survey. 4.- Taskar B, Segal E, Koller D. Probabilistic Classification and Clustering in Relational Data.ication and Clustering in Relational Data. |
| StudentProjectStatus | Open + |
| Supervisors | Sławomir Nowaczyk + , Pablo del Moral + |
| TimeFrame | Fall 2019 + |
| Title | Detecting different types of machines based on usage + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 9 September 2019 20:16:41 + |
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