Knowledge discovery in entity based smart environment resident data using temporal relation based data mining

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2007, Pages 625-630

  Jakkula, Vikramaditya R ^a   Crandall, Aaron S ^a   Cook, Diane J ^a  

^a WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA-SETS; INTERNATIONAL CONFERENCES; KNOWLEDGE DISCOVERY; RAW SENSOR DATA; REAL-WORLD; SMART ENVIRONMENTS; TEMPORAL RELATIONS;

ADMINISTRATIVE DATA PROCESSING; DATA MINING; DECISION SUPPORT SYSTEMS; FINANCIAL DATA PROCESSING; INFORMATION MANAGEMENT; KNOWLEDGE MANAGEMENT; MINING; SEARCH ENGINES;

KNOWLEDGE BASED SYSTEMS;

EID: 49549097564     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2007.107     Document Type: Conference Paper

References (6)

1. James F. Allen, and George Ferguson, "Actions and Events in Interval Temporal Logic", echnical Report 521, July 1994.
2. K. Gopalratnam and D. J. Cook, "Active LeZi: An Incremental Parsing Algorithm for Sequential Prediction", International Journal of Artificial Intelligence Tools, 14(1-2):917-930, 2004.
3. G. Michael Youngblood, Lawrence B. Holder, and Diane J. Cook. "Managing Adaptive Versatile Environments", Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2005.
4. Vikramaditya Jakkula, and Diane J. Cook, "Learning temporal relations in smart home data", Proceedings of the second International Conference on Technology and Aging, Canada, June 2007.
5. Wikipedia, et al. Longest Common Subsequence Problem. Wikipedia. Wikipedia Foundation, Inc. Retrieved May 25, 2007. http://en.wikipedia.org/wiki/ Longest_common_subsequence_problem
6. Wikibooks, et al. Algorithm Implementation Strings Longest Common Subsequence. Wikibooks. Wikimedia Foundation, Inc. Retrieved May 25, 2007. http://en.wikibooks.org/wiki/Algorithm_implementation/Strings/ Longest_common_subsequence.