Empirical discriminative tensor analysis for crime forecasting

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

Volumn 7091 LNAI, Issue , 2011, Pages 293-304

  Mu, Yang ^a   Ding, Wei ^a   Morabito, Melissa ^a   Tao, Dacheng ^b  

^a UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

crime forecasting; Discriminative tensor analysis; tensor least square

Indexed keywords

AMOUNT OF INFORMATION; CRIME DATA; CRIMINAL ACTIVITIES; DISCRIMINATIVE TENSOR ANALYSIS; EMPIRICAL RISKS; FOUR-ORDER; GEOGRAPHIC AREAS; REAL-WORLD SCENARIO; TENSOR ANALYSIS; TENSOR REPRESENTATION;

ALGORITHMS; DATA STRUCTURES; FORECASTING; TENSORS;

CRIME;

EID: 84857619238     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25975-3_26     Document Type: Conference Paper

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