NDoT: Nearest neighbor distance based outlier detection technique

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6744 LNCS, Issue , 2011, Pages 36-42

  Hubballi, Neminath ^a   Patra, Bidyut Kr ^b   Nandi, Sukumar ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

^b TEZPUR UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

NEAREST NEIGHBOR DISTANCE; NEAREST NEIGHBORS; OUTLIER DETECTION; OUTLIER DETECTION ALGORITHM; VOTING MECHANISM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; PATTERN RECOGNITION;

STATISTICS;

EID: 79960129271     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21786-9_8     Document Type: Conference Paper

References (7)

1. Chandola, V., Banerjee, A., Kumar, V.: Outlier detection: A survey. ACM Computing Survey, 1-58 (2007)
2. Knorr, E.M., Ng, R.T.: Algorithms for mining distance-based outliers in large datasets. In: VLDB 1998: Proceedings of 24th International Conference on Very Large Databases, pp. 392-403 (1998)
3. Angiulli, F., Fassetti, F.: Dolphin: An efficient algorithm for mining distance-based outliers in very large datasets. ACM Transactions and Knowledge Discovery Data 3, 4:1-4:57 (2009)
4. Breunig, M., Kriegel, H.P., Ng, R.T., Sander, J.: Lof: identifying density-based local outliers. In: SIGMOD 2000:Proceedings of the 19th ACM SIGMOD international conference on Management of data, pp. 93-104. ACM Press, New York (2000)
5. Tang, J., Chen, Z., Fu, A.W.-c., Cheung, D.W.: Enhancing Effectiveness of Outlier Detections for Low Density Patterns. In: Chen, M.-S., Yu, P.S., Liu, B. (eds.) PAKDD 2002. LNCS (LNAI), vol. 2336, pp. 535-548. Springer, Heidelberg (2002)
6. Zhang, K., Hutter, M., Jin, H.: A new local distance-based outlier detection approach for scattered real-world data. In: Theeramunkong, T., Kijsirikul, B., Cercone, N., Ho, T.-B. (eds.) PAKDD 2009. LNCS, vol. 5476, pp. 813-822. Springer, Heidelberg (2009)
7. Ramaswamy, S., Rastogi, R., Shim, K.: Efficient algorithms for mining outliers from large data sets. SIGMOD Record 29, 427-438 (2000)