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03/23/11 12:07:33 (
Possible mentors: Jure
== Time-series analysis ==
Orange currently lacks any [http://en.wikipedia.org/wiki/Time_series time-series] analysis tools. It would be great to develop some basic tools for dealing with them: reading, normalizing, basic pattern search, feature extraction, some (auto-)correlation and similar basic techniques, and so on. Research what other similar applications support and propose which features would be useful to have as a basic set of tools.
Important is to implement (in a modular way) feature extraction from time-series analysis so that it can be integrated with the rest of Orange (and learning, classification and visualization tools already existing there).
'''Disclaimer''': We do not have any experts on time-series analysis in a laboratory so student will have to be independent and self-learning about this. Mentor will provide some guidance and help with integration into Orange.
Useful skills: Python. Data analysis experience. Digital signal processing experience could also help.
Level from 1 (beginner) to 5 (professional): 4
Possible mentors: Mitar