Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data (Wiley Series on Parallel and Distributed Computing)
By
Diane J. Cook (Author) Narayanan C. Krishnan (Author)
Hardback
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About the Author
DIANE J. COOK, PhD, is a professor in the School of Electrical Engineering and Computer Science at Washington State University, USA. Her research relating to artificial intelligence and data mining have been supported by grants from the National Science Foundation, the National Institutes of Health, NASA, DARPA, USAF, NRL, and DHS. She is the co-author of Mining Graph Data and Smart Environments, both published by Wiley. Dr. Cook is an IEEE fellow and a member of AAAI. NARAYANAN C. KRISHNAN, PhD, is a faculty member of the Department of Computer Science and Engineering at the Indian Institute of Technology Ropar, India. His research focuses on activity recognition, pervasive computing, and applied machine learning. Dr. Krishnan received the gold medal for academic excellence in Masters of Technology in Computer Science in 2004 and was nominated for the Best PhD Thesis Award at Arizona State University in 2010.
More Details
- Contributor: Diane J. Cook
- Imprint: John Wiley & Sons Inc
- ISBN13: 9781118893760
- Number of Pages: 288
- Packaged Dimensions: 163x244x24mm
- Packaged Weight: 590
- Format: Hardback
- Publisher: John Wiley & Sons Inc
- Release Date: 2015-04-21
- Series: Wiley Series on Parallel and Distributed Computing
- Binding: Hardback
- Biography: DIANE J. COOK, PhD, is a professor in the School of Electrical Engineering and Computer Science at Washington State University, USA. Her research relating to artificial intelligence and data mining have been supported by grants from the National Science Foundation, the National Institutes of Health, NASA, DARPA, USAF, NRL, and DHS. She is the co-author of Mining Graph Data and Smart Environments, both published by Wiley. Dr. Cook is an IEEE fellow and a member of AAAI. NARAYANAN C. KRISHNAN, PhD, is a faculty member of the Department of Computer Science and Engineering at the Indian Institute of Technology Ropar, India. His research focuses on activity recognition, pervasive computing, and applied machine learning. Dr. Krishnan received the gold medal for academic excellence in Masters of Technology in Computer Science in 2004 and was nominated for the Best PhD Thesis Award at Arizona State University in 2010.
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