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About the Intelligent Data Analysis Lab at SMU

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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.

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Acknowledgement of Support

National Institutes of Health (NIH) National Human Genome Research Institute (NHGRI) National Science Foundation (NSF) University of Texas Southwestern Medical Center T-System Net­Centric Software and Systems Consortium

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