About the Intelligent Data Analysis Lab at SMU
At IDA@SMU we create novel techniques inspired by knowledge discovery, data mining, machine learning, artificial intelligence, data analytics and statistical analysis to work with data from various sources. We currently focus on efficient classification methods for large volume genomic and metagenomic data, on modeling the temporal/order structure of real-time data streams (e.g., for intrusion detection and hurricane intensity prediction), on recommendation strategies based on observed user behavior and on visualizing large scale data. > read about our current projects
The IDA@SMU is part of the the Bobby B. Lyle School of Engineering, Southern Methodist University (SMU). The lab was created in 2009 when Dr. Hahsler joined as director. It is the successor of SMU's Database Research Group founded by Dr. Dunham.
- Mathew Bolanos graduates with Departmental Distinctions in CS for his research on data stream mining and modeling. He will join a graduate program at Carnegie Mellon University next Fall (May 2014).
- IDA@SMU members Jake Drew and Hadil Shaiba have received the Dean's Departmental Award (CS) for their research projects at the 2014 SMU Research day (Spring 2014).
- Anurag Nagar, Jake Drew and Matt Bolanos (all IDA members) have received awards at the Annual SMU Graduate Research day for their work on genetic sequence alignment, classification and data stream clustering (Spring 2013).
- Prof. Hahsler (IDA@SMU) and Prof. El Shamy (Civil and Environmental Engineering) receive seed funding for Data-Enabled Characterization of the Seismic Response of Geotechnical Systems (3/2013).
- The first stable version of the R package stream is available on CRAN (3/2013).
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