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
Environments, 2012.
Y. Sahaf, N. Krishnan, and D. Cook.
Defining the complexity of an activity.
Proceedings of the AAAI Workshop on Activity Context
Representation: Techniques and Languages, 2011.
D. Cook, A. Crandall, G. Singla, and B. Thomas.
Detection of social
interaction in smart spaces. Journal of Cybernetics and Systems,
special issue on social awareness in smart spaces, 41(2):90-104, 2010.
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.
J. Kukluk, L. Holder, and D. Cook, Inference of edge replacement
graph grammars. Proceedings of the Florida Artificial Intelligence
Research Symposium, 2007.
J. Kukluk, L. Holder, and D. Cook. Inference of node and
edge replacement graph grammars.
Proceedings of the ICML Workshop on Challenges and Applications
of Grammar Induction, 2007.
P. Rashidi, G. M. Youngblood, D. Cook, and S. Das.
Inhabitant guidance
of smart environments. Proceedings of the
International Conference on Human-Computer Interaction, 2007.
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.
2006
D. Cook and L. Holder (eds.). Mining
Graph Data. John Wiley and Sons, December 2006.
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
Cybernetics, 2006.
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
Communications, 2006.
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.
J. Potts, D. Cook, and L. Holder. Learning from supervised
graphs. Applied Graph Theory in Computer Vision and
Pattern Recognition (M. Last, A. Kandel, and H. Bunke, editors),
Wiley, 2006.
D. Cook, G. M. Youngblood, and G. Jain.
Algorithms for smart spaces. Technology for Aging,
Disability and Independence: Computer and Engineering for Design and
Applications, Wiley, 2006.
D. Cook, G. M. Youngblood, and S. K. Das.
A multi-agent approach to controlling a smart environment.
AI and Smart Homes, pages 165-182, Springer Verlag, 2006.
J. Kukluk, L. Holder, and D. Cook, Algorithm and experiments in testing
planar graphs for isomorphism. Journal of Graph Algorithms
and Applications, 8(3), 2005.
N. Ketkar, L. Holder, and D. Cook.
Comparison of graph-based and logic-based multi-relational data mining.
SIGKDD Explorations Special issue on Link Mining 7(2), 2005.
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,
August 2005.
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.
August 2005.
S. K. Das and D. Cook,
Designing smart environments: A paradigm based on learning
and prediction.
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,
2005.
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.
J. Coble, D. Cook, L. Holder, and R. Rathi.
Structure discovery from sequential data.
Proceedings of the Florida Artificial Intelligence
Research Symposium, 2004. Extended
paper in International Journal of Artificial Intelligence
Techniques, 14(1-2), 2005.
A. Rakhshan, L. Holder and D. Cook.
Structural web search
engine. International Journal of Artificial
Intelligence Tools, 13(1):27-33, 2004.
I. Jonyer, L. Holder, and D. Cook, Attribute-value selection
based on the minimum description length.
Proceedings of the International Conference on Artificial
Intelligence, 2004.
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
Conference, 2003.
A. Rakhshan, L. Holder, and D. Cook.
Structural web search
engine. Proceedings of the Sixteenth International
Conference of the Florida AI Research Society, May 2003.
D. Cook, M. Youngblood, E. Heierman, K. Gopalratnam, S. Rao,
A. Litvin, and F. Khawaja.
MavHome: An agent-based smart home.
Proceedings of the Conference on Pervasive Computing, 2003.
L. Holder, D. Cook, J. Gonzalez, and I. Jonyer.
Structural pattern recognition
in graphs. Pattern Recognition and String
Matching (D. Chen and X. Cheng, eds.), Kluwer Academic Publishers, 2002.
D. Cook, L. Holder, S. Su, R. Maglothin, and I. Jonyer.
Structural mining of molecular biology
data. IEEE Engineering in Medicine and Biology
special issue on Advances in Genomics, 20(4):67-74, 2001.
J. Gonzalez, L. Holder, and D. Cook.
Graph-based concept
learning.
Proceedings of the Florida Artificial Intelligence Research Symposium,
2001.
C. Hannon and D. Cook. Exploring the use of cognitive models in
AI applications using the Stroop effect.
Proceedings of the Florida Artificial Intelligence Research Symposium,
2001.
2000
D. Cook and L. Holder. Graph-based data
mining. IEEE Intelligent Systems, 15(2):32-41, 2000.
J. Gonzalez, I. Jonyer, L. Holder and D. Cook.
Efficient mining of graph-based data.
Proceedings of the AAAI Workshop on Learning Statistical Models from
Relational Data, 2000.
C. Hannon and D. Cook. A parallel approach to unified cognitive
modeling of language. Proceedings of the Thirteenth Canadian
Conference on Artificial Intelligence, 2000.
G. Peterson and D. Cook, Decision-theoretic layered robotic
control architecture. Proceedings of the National
Conference on Artificial Intelligence, 1999.
J. Coble and D. Cook. Virtual environments:
An agent-based approach. Proceedings of the AAAI Spring
Symposium on Intelligent Agents in Cyberspace, 1999.
W. Briggs and D. Cook. Anytime planning for optimal tradeoff
between deliberative and reactive planning,
Proceedings of the Florida AI Research Symposium, 1999.
G. Peterson and D. Cook. Learning and planning in a robotic
game. Proceedings of the AAAI Fall Symposium on
Integrated Planning for Autonomous Agent Architectures, 1998.
E. Mettala, D. Cook and K. Harbison.
Scenario-based design of
UGV RSTA algorithms. in Reconnaissance, Surveillance, and
Target Acquisition for the Unmanned Ground Vehicle, O. Firschein and
T. Strat (eds.), 1997.
K. S. Tae and D. Cook. Experimental knowledge acquisition for
planning. Proceedings of the Conference on Machine
Learning, 1996.
W. Briggs and D. Cook.
A clustering approach to resource allocation in multiagent systems.
Proceedings of the Florida AI Research Symposium,
pages 127-131, 1996.
R. C. Varnell, D. Cook, and L. Peterson.
Optimizing the performance of parallel heuristic search.
Proceedings of the Florida AI Research Symposium,
pages 385-389, 1996.
K. S. Tae and D. Cook. Experimentation-driven incremental
operator learning. Proceedings of the Florida AI Research
Symposium, pages 204-208, 1996.
K. S. Tae and D. Cook. Knowledge acquisition for planning with
incomplete information. Proceedings of the AAAI Spring Symposium on
Planning with Incomplete Information for Robot Problems, 1996.
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.
