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Mining Discriminative Pattern to Classify the Quick and Safe Travelling in the Mode of Road Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 53 - Number 10 |
| Year of Publication: 2012 |
| Authors: S. Sivakumar, C. Chandrasekar |
10.5120/8460-2270
|
S. Sivakumar, C. Chandrasekar . Mining Discriminative Pattern to Classify the Quick and Safe Travelling in the Mode of Road Network. International Journal of Computer Applications. 53, 10 ( September 2012), 44-46. DOI=10.5120/8460-2270
Abstract
Categorization is one of the major tasks in the field of traffic network. In comparison to the other techniques which can be correlated with the categorization tries to find out all the frequent blueprints which existed in the input categorical of the traffic network satisfying the public specified least support or inequity measures like minimum confidence or information gain. Those blueprints are used shortly either as rules for rule-based classifier or training features for Support Vector Machine (SVM) categorizer. Several algorithms have been proposed to solve the categorization problem on uncertain conditions in the road transportation due to improper traffic network. In this research paper we have proposed an innovative algorithm concord which extracts discriminative patterns directly and effectively from the uncertain traffic network conditions as classified in the features which assists everyone to use the road transportation in traveling quick and safe to any destinations.
References
- X. Y. Jin and C. H. Davis,"Multispectral IKONOS Imagery Automatic Road Extraction from High-Resolution. " Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Vol 3. pp. 1730-1732, 2003.
- A. Chang S. K. Kyu and B. R. Sang, "A Road Extraction Method from Topographical Map Images. " IEEE Communications, Computers and Signal Processing, Vol 2. pp. 839-842, 1997.
- Gopalan, R. , K. Kolluri, R. Batta, and M. Karwan. 1990. Modeling equity of risk in the transportation of hazardous materials. Operations Research, 38(6):961–973. URL http: //links. jstor. org/sici?sici=0030-364X.
- Lisini, C. Tison, F. Tupin and P. Gamba, "Feature Fusion to Improve Road Network Extraction in High-Resolution SAR Images. " IEEE Geoscience and Remote Sensing Letters, Vol 3, No. 2, pp. 217-221, 2006.
- Yan Li and Ronald Briggs, "Automatic Extraction of Roads from High Resolution Aerial and Satellite Images with Heavy Noise", World Academy of Science, Engineering and Technology, Vol. 54, pp. 416-422, 2009
- Yu-Li Chouy H. Edwin Romeijnz Robert L. Smithx. Approximating Shortest Paths in Large-scale Networks with an Application to Intelligent. Transportation Systems. September 27, 1998
- Roozbeh Shad, Hamid Ebadi, Mohsen Ghods. Evaluation of Route Finding Methods in GIS Application. Dept of Geodesy and Geomatics Eng. K. N. Toosi University of Technology, IRAN. http://www. gisdevelopment. net/technology/gis/ma03202. htm
- Thomas H. Cormen, Clifford Stein, Ronald L. Rivest and Charles E. Leiserson. Introduction to Algorithms, 2nd edition, McGraw-Hill Higher Education, 2001, ISBN: 0070131511
- Akgun,A. ,Erkut,E. ,Batta,R. (2000) On finding dissimilar paths, European Journal of Operational Research 121, 232-246
- C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition,"submitted to Data Mining and Knowledge Discovery, 1998.
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