Discovering structural anomalies in graph-based data

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2007, Pages 393-398

  Eberle, William ^a   Holder, Lawrence ^b  

^a TENNESSEE TECHNOLOGICAL UNIVERSITY   (United States)

^b WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALOUS BEHAVIOR; ANOMALY DETECTIONS; CONDITIONAL ENTROPY; GRAPH-BASED; GRAPH-BASED REPRESENTATIONS; INTERNATIONAL CONFERENCES; REAL-WORLD DATA; SEVERAL DOMAINS; STRUCTURAL ANOMALIES; STRUCTURAL PATTERNS;

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

FINANCIAL DATA PROCESSING;

EID: 49549087903     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2007.91     Document Type: Conference Paper

References (14)

1. Chakrabarti, D. AutoPart: Parameter-Free Graph Partitioning and Outlier Detection. Knowledge Discovery in Databases: PKDD 2004, 112-124, 2004.
2. Cook, D. and Holder, L. Graph-based data mining. IEEE Intelligent Systems 15(2), 32-41, 1998.
3. Customs and Border Protection Today, "Illegal textile entries: a way to save a few bucks?", March 2003. (http://www.cbp.gov/xp/CustomsToday/ 2003/March/illegal.xml)
4. Hampton, M. and Levi, M. Fast spinning into oblivion? Recent developments in money-laundering policies and offshore finance centres. Third World Quartely, Volume 20, Number 3, June 1999, pp. 645-656, 1999.
5. KDD Cup 1999. Knowledge Discovery and Data Mining Tools Competition. 1999. (http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html)
6. Lin S. and Chalupsky, H. Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis. Proceedings of the Third IEEE ICDM International Conference on Data Mining, 171-178, 2003.
7. th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 631-636, 2003.
8. Rattigan, M. and Jensen, D. The case for anomalous link discovery. ACM SIGKDD Explor. Newsl., 7(2):41-47, 2005.
9. Rissanen, J. Stochastic Complexity in Statistical Inquiry. World Scientific Publishing Company, 1989.
10. Shetty, J. and Adibi, J. Discovering Important Nodes through Graph Entropy: The Case of Enron Email Database. KDD, Proceedings of the 3rd international workshop on Link discovery, 74-81, 2005.
11. th National Information Systems Security Conference, 1996.
12. Sun, J, Qu, H., Chakrabarti, D. and Faloutsos, C. Relevance search and anomaly detection in bipartite graphs. SIGKDD Explorations 7(2), 48-55, 2005.
13. U.S. Customs Service: 1,754 Pounds of Marijuana Seized in Cargo Container at Port Everglades. November 6, 2000. (http://www.cbp.gov/hot-new/ pressrel/2000/1106-01.htm).
14. D. Cook and L. Holder. Substructure Discovery Using Minimum Description Length and Background Knowledge. Artificial Intelligence Research, 1:231-255, 1994.