Applying data mining in prediction and classification of urban traffic

2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

Volumn 3, Issue , 2009, Pages 674-678

  Nejad, Sedigheh Khajouei ^a   Seifi, Farid ^b   Ahmadi, Hamed ^c   Seifi, Nima ^d  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^d NIGC DIST4   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION METHODS; DATA MINING METHODS; DATA MINING TECHNIQUES; DATA SETS; IN-FIELD; TRAFFIC BEHAVIOR; TRAFFIC MANAGEMENT; TRAFFIC PREDICTION; URBAN TRAFFIC;

COMPUTER SCIENCE; DATA MINING; MINING;

COMPUTATIONAL METHODS;

EID: 70449111233     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSIE.2009.906     Document Type: Conference Paper

References (7)

1. Qiang Ding, Qin Ding, William Perrizo, "Decision Tree Classification of Spatial Data StreamsUsing Peano Count Trees", 2002, SAC 02: 413-417.
2. Ruoming Jin, Gagan Agrawal, "Efficient Decision Tree Construction on Streaming Data", KDD 03, 2003, pp. 571-576.
3. Nicholas R. Howe, Toni M. Rath, and R. Manmatha, "Boosted Secision Trees for Word Recognition in Handwritten Document Retrieval", SIGIR, 2005, pp. 377-383.
4. Patrick Knab, Martin Pinzger, and Abraham Bernstein, "Predicting Defect Densities in Source Code Files with Decision Tree Learners", MSR, 2006, pp. 119-125.
5. Gehrke, V Ganti, R. Ramakrishnan, and W.-Y. Loh. , "BOAT - Optimistic Decision Tree Construction", Proc. ACM SIGMOD'99,Philadephia, USA, 1999, pp. 169-l 80.
6. J. Gehrke, R. Ramakrishnan, and V. Ganti. , "RainForest - A Framework for Fast Decision Tree Construction of Large Datasets", Proc. VLDB '98, New York, USA, 1998, pp. 416-427.
7. F. Seifi, H. Ahmadi, M. Kangavari, "Twins Decision Tree Classification: A Sophisticated Approach to Decision Tree Construction", ICCSA'07, Florida USA, 2007, pp. 337-341.