Research abstract for semantic anomaly detection in dynamic data feeds with incomplete specifications

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Research abstract for semantic anomaly detection in dynamic data feeds with incomplete specifications

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International Conference on Software Engineering archive
Proceedings of the 24th International Conference on Software Engineering table of contents

Orlando, Florida

SESSION: Doctoral symposia table of contents

Pages: 733 - 734

Year of Publication: 2002

ISBN:1-58113-472-X

Author

Orna Raz

Carnegie Mellon University, Pittsburgh, PA

Sponsors

IEEE-CS\DATC : IEEE Computer Society
ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering

Publisher

ACM New York, NY, USA

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	W3C. The Semantic Web, Activity.
	2	Glenn Ammons , Rastislav Bodík , James R. Larus, Mining specifications, Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages, p.4-16, January 16-18, 2002, Portland, Oregon
	3	Mathias Bauer , Dietmar Dengler, TrIAs: trainable information assistants for cooperative problem solving, Proceedings of the third annual conference on Autonomous Agents, p.260-267, April 1999, Seattle, Washington, United States [doi>10.1145/301136.301207]
	4	Dawson Engler , David Yu Chen , Seth Hallem , Andy Chou , Benjamin Chelf, Bugs as deviant behavior: a general approach to inferring errors in systems code, Proceedings of the eighteenth ACM symposium on Operating systems principles, October 21-24, 2001, Banff, Alberta, Canada
	5	Michael D. Ernst , Jake Cockrell , William G. Griswold , David Notkin, Dynamically Discovering Likely Program Invariants to Support Program Evolution, IEEE Transactions on Software Engineering, v.27 n.2, p.99-123, February 2001 [doi>10.1109/32.908957]
	6	Rulequest. GritBot. www.rulequest.com/gritbot-info.html. Accessed January 2002.
	7	Nicholas Kushmerick, Regression testing for wrapper maintenance, Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence, p.74-79, July 18-22, 1999, Orlando, Florida, United States
	8	T. Lane et al. Approaches to online learning and concept drift for user identification in computer security. In KDD, 1998.
	9	J.C. C. Laprie , A. Avizienis , H. Kopetz, Dependability: Basic Concepts and Terminology, Springer-Verlag New York, Inc., Secaucus, NJ, 1992
	10	Kristina Lerman , Steven Minton, Learning the Common Structure of Data, Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence, p.609-614, July 30-August 03, 2000
	11	Vijayshankar Raman , Joseph M. Hellerstein, Potter's Wheel: An Interactive Data Cleaning System, Proceedings of the 27th International Conference on Very Large Data Bases, p.381-390, September 11-14, 2001
	12	Orna Raz , Philip Koopman , Mary Shaw, Semantic anomaly detection in online data sources, Proceedings of the 24th International Conference on Software Engineering, May 19-25, 2002, Orlando, Florida [doi>10.1145/581339.581378]