Days of our lives: Assessing day similarity from location traces

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

Volumn 7899 LNCS, Issue , 2013, Pages 89-101

  Biagioni, James ^a   Krumm, John ^b  

^a University of Illinois at Chicago   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

anomaly detection; clustering; location traces; similarity

Indexed keywords

ANOMALOUS BEHAVIOR; ANOMALY DETECTION; CLUSTERING; SIMILAR DAY; SIMILARITY; SIMILARITY ALGORITHM; SIMILARITY MEASURE; TEST ALGORITHMS;

MATHEMATICAL MODELS;

CLUSTERING ALGORITHMS;

EID: 84884495729     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38844-6_8     Document Type: Conference Paper

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