Project Details
Deep Learning based Pattern/Trend Mining over Time Series
| Laboratory : LSIR | Semester / Master | Completed |
Description :
Deep learning technique is becoming a very hot topic for various machine learning and data mining problems, but utilizing it in temporal data mining, i.e. time series data mining still receives little attention.
In this project, we will try to figure out a clear road-map for exploiting recurrent neural network to discover the hidden correlation/causality among massive time series. This is a very fundamental and important task in a variety of applications. For instance, image a scenario where you observe a sudden change or pattern of interest in stock time series, a natural question is whether and to what extent some other stocks would be affected by such changes or patterns in the near future.
- good programming skills
- data mining/machine learning experience is a plus.
Contacts
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| Contact: | Tian Guo |