Detecting outliers in high-dimensional datasets with mixed attributes

Proceedings of the 2008 International Conference on Data Mining, DMIN 2008

Volumn , Issue , 2008, Pages 427-433

  Koufakou, A ^a   Georgiopoulos, M ^a   Anagnostopoulos, G C ^b  

^a University of Central Florida   (United States)

^b Florida Institute of Technology ^*  (United States)

Author keywords

High dimensional data; Large datasets; Mixed attribute datasets; Outlier detection

Indexed keywords

CONTINUOUS ATTRIBUTES; CREDIT CARD FRAUDS; EUCLIDEAN DISTANCES; GEOGRAPHICAL AREAS; HIGH DIMENSIONAL DATA; HIGH-DIMENSIONAL; LARGE DATASETS; MIXED ATTRIBUTE DATASETS; NEAREST NEIGHBORS; NETWORK INTRUSIONS; OUTLIER DETECTION; RESEARCH AREAS;

INFORMATION MANAGEMENT;

CLUSTERING ALGORITHMS;

EID: 62649086136     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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