DocumentCode :
2194917
Title :
Ensemble-Based Method for Task 2: Predicting Traffic Jam
Author :
He, Jingrui ; He, Qing ; Swirszcz, Grzegorz ; Kamarianakis, Yiannis ; Lawrence, Rick ; Shen, Wei ; Wynter, Laura
Author_Institution :
Bus. Analytics & Math. Sci., IBM Res., Yorktown Heights, NY, USA
fYear :
2010
fDate :
13-13 Dec. 2010
Firstpage :
1363
Lastpage :
1365
Abstract :
In this paper, we describe our solution for ICDM 2010 Contest Task 2 (Jams), where the task is to predict future where the next traffic jams will occur in morning rush hour, given data gathered during the initial phase of this peak period. Our solution, which is based on an ensemble approach, finished Second in the final evaluation.
Keywords :
traffic engineering computing; ICDM 2010 Contest; ensemble-based method; traffic jam; traffic simulation framework; cross validation; ensemble; nearest-neighbor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-9244-2
Electronic_ISBN :
978-0-7695-4257-7
Type :
conf
DOI :
10.1109/ICDMW.2010.54
Filename :
5693453
Link To Document :
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