Semantic anomaly detection in online data sources

Proceedings - International Conference on Software Engineering

Volumn , Issue , 2002, Pages 302-312

  Raz, Orna ^a   Koopman, Philip ^a   Shaw, Mary ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE MAINTENANCE; DATABASE SYSTEMS; ERROR DETECTION; ONLINE SYSTEMS; PROGRAM DEBUGGING; SEMANTICS; SOFTWARE ENGINEERING;

ONLINE DATA FEEDS; ONLINE DATA SOURCES; SEMANTIC ANOMALY DETECTION;

PROGRAM DIAGNOSTICS;

EID: 0036041634     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/581339.581378     Document Type: Conference Paper

References (28)

1. Alexa browser enhancement
2. Trias: Trainable information assistants for cooperative problem solving
3. Stock quotes data source
4. Stock quotes data source
5. Stock quotes data source
6. Dynamically discovering likely program invariants to support program evolution
7. Google search engine
8. Mining time-changing data streams
9. Accurately and reliably extracting data from the web: A machine learning approach
10. Regression testing for wrapper maintenance
11. Temporal sequence learning and data reduction for anomaly detection
12. Learning the common structure of data
13. Trends and controversies: Information integration
14. Querying heterogeneous information sources using source descriptions
15. An approach to preserving sufficient correctness in open resource coalitions
16. Software risk management and insurance. Position paper
17. Dow Jones average collapses to 0.20
18. A classification scheme for studies on fault-prone components
19. Software fault tolerance: A tutorial