A. Seelye, M. Schmitter-Edgecombe, D. Cook, and A. Crandall.
Smart environment prompting technologies for everyday activities in
mild cognitive impairment. Journal of the International Neuropsychological
Society, to appear.
N. Roy, A. Misra, and D. Cook. Infrastructure-assisted
smartphone-based ADL recognition in multi-inhabitant smart environments.
Proceedings of the IEEE International Conference on Pervasive
Computing and Communication, 2013.
L. Chen, J. Hoey, C. Nugent, D. Cook, and Z. Yu. Sensor-based
activity recognition: A survey. IEEE Transactions on Systems, Man, and
Cybernetics, Part C, 42(6):790-808, 2012.
A. Aztiria, J. Augusto, and D. Cook. Discovering frequent user-environment
interactions in intelligent environments.
Personal and Ubiquitous Computing, 16(1):91-103, 2012.
H. Fang, R. Srinivasan, and D. Cook. Feature selection for human
activity recognition in smart home environments. International Journal of
Innovative Computing, Information and Control, 8(5):3525-3535, 2012.
B. Das, A. Seelye, B. Thomas, D. Cook, L. Holder, and
M. Schmitter-Edgecombe. Using smart phones for context-aware prompting
in smart environments. Proceedings of the CCNC CeHPSA Workshop, 2012.
L. Zulas, A. Crandall, M. Schmitter-Edgecombe, and D. Cook.
Caregiver needs from elder care assistive smart homes: Nursing assessment.
Proceedings of the International Conference of the Human Factors and
Ergonomics Society, 2012.
A. Crandall, L. Zulas, N. Krishnan, K. Feuz, and D. Cook.
Visualizing your ward: Bringing smart home data to caregivers.
Proceedings of the CHI Workshop on Emerging Technologies
for Healthcare and Aging, 2012.
A. Crandall and D. Cook. Smart home in a box: A large scale smart home
deployment. Proceedings of the Workshop on Large Scale Intelligent
C. You, L. Holder, and D. Cook. Graph-based
data mining in dynamic networks: Empirical comparison of
compress-based and frequency-based subgraph mining.
Proceedings of the Workshop on Analysis of
Dynamic Networks, 2008.
D. J. Cook, G. M. Youngblood, and G. Jain.
Algorithms for smart spaces.
The Engineering Handbook on Smart Technology
for Aging, Disability and Independence, A. Helal, M. Mokhtari and
B. Abdulrazak, Editors, John Wiley and Sons, 2007.
N. Ketkar, L. Holder, and D. Cook, Mining in the proximity of
subgraphs. Proceedings of LinkKDD, 2006.
C. D. Corley, D. Cook, L. Holder, and K. P. Singh.
Graph-based data mining in epidemia and terrorism data.
Proceedings of the Conference on Quantitative Methods and
Statistical Applications in Defense and National Security, 2006.
C.-C Tseng and D. Cook, Mining from time series human movement
data. Proceedings of the Conference on Systems, Man, and
J. Kukluk, L. Holder and D. Cook, Inference of node replacement
recursive graph grammars. Proceedings of the SIAM Conference on
Data Mining, April 2006.
S. Das and D. Cook, Designing and modeling smart environments.
Proceedings of the Workshop on Autonomic Computing and
K. Ates, J. Kukluk, L. Holder, D. Cook and K. Zhang, Graph
grammar induction on structural data for visual programming.
Proceedings of the 18th IEEE International Conference on Tools with
Artificial Intelligence, November 2006.
J. Kukluk, C. You, L. Holder and D. Cook, Discovering recursive
patterns in biological networks. Dallas Area
Bioinformatics and Computational Biology Workshop, August 2006.
M. Youngblood, D. Cook, and L. Holder, Managing adaptive versatile
environments. Proceedings of the IEEE International Conference on
Pervasive Computing and Communications, 2005.
N. Ketkar, L. Holder and D. Cook, Qualitative comparison of
graph-based and logic-based multi-relational data mining: A case study.
Proceedings of the ACM KDD Workshop on Multi-Relational Data Mining,
N. Ketkar, L. Holder, D. Cook, R. Shah and J. Coble, Subdue:
Compression-based frequent pattern discovery in graph data.
Proceedings of the ACM KDD Workshop on Open-Source Data Mining.
S. K. Das and D. Cook,
Designing smart environments: A paradigm based on learning
Proceedings of First International Conference on Pattern
Recognition and Machine Intelligence (PReMI'05),
Kolkata, India, Dec 18-22, 2005.
J. Potts, L. Holder, D. Cook, and J. Coble.
Learning concepts from intelligence data embedded in a supervised graph.
Proceedings of the International Conference on Intelligence Analysis,
M. Youngblood, L. Holder, and D. Cook.
A learning architecture for automating the intelligent environment.
Proceedings of the Conference on Innovative Applications of
Artificial Intelligence, 2005.
L. Holder and D. Cook, Graph-based data mining.
J. Wang (ed.), Encyclopedia of Data Warehousing and Mining,
Idea Group Publishing, 2005.
D. Cook, L. Holder, J. Coble and J. Potts, Graph-based mining of
complex data. S. Bandyopadhyay, U. Maulik, L. Holder and D. Cook
(eds.), Advanced Methods for Knowledge Discovery from Complex
Data, Springer, 2005.
I. Jonyer, L. Holder, and D. Cook, Attribute-value selection
based on the minimum description length.
Proceedings of the International Conference on Artificial
L. Holder and D. Cook. Graph-based data mining.
Encyclopedia of Data Warehousing and Mining, 2004.
D. Cook and M. Youngblood. Smart homes.
Encyclopedia of Human-Computer Interaction, 2004.
S. K. Das and D. Cook, Health monitoring in an agent-based smart
home by activity prediction. Toward a Human-Friendly Assistive
Environment, D. Zhang and M. Mokhari (eds.), IOS Press, pages 3-14, 2004.
D. Cook, S. Das, Karthik Gopalratnam, and Abhishek Roy.
Health monitoring in an agent-based smart home.
Proceedings of the International Conference on Aging,
Disability and Independence Advancing Technology and Services to
Promote Quality of Life, 2003.
C. Noble and D. Cook,
Graph-based anomaly detection.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining, 2003.
F. Khawaja, D. Gjoni, M. Huber, D. Cook and M. Youngblood.
Achieving faster convergence
to the optimal policy by using knowledge of the reward structure.
Proceedings of the Artificial Intelligence Applications
L. Stark, K. W. Bowyer, K. Woods, L. Hall, and D. Cook.
Application of learning techniques in a function-based
recognition system. Symbolic Visual Learning,
K. Ikeuchi and M. Veloso (eds.), Oxford University Press, 1995.