Tackling concept drift by temporal inductive transfer
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Training linear SVMs in linear time
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Utility analysis for topically biased PageRank
Proceedings of the 16th international conference on World Wide Web
A Novel Web Page Filtering System by Combining Texts and Images
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
SED: supervised experimental design and its application to text classification
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Temporally-aware algorithms for document classification
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A survey of hierarchical classification across different application domains
Data Mining and Knowledge Discovery
Genetic algorithm based solution to dead-end problems in robot navigation
International Journal of Computer Applications in Technology
Inspection of surface defects in copper strip using multivariate statistical approach and SVM
International Journal of Computer Applications in Technology
Hybrid dynamic k-nearest-neighbour and distance and attribute weighted method for classification
International Journal of Computer Applications in Technology
Combining lexical and structural information for static bug localisation
International Journal of Computer Applications in Technology
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Cased-based reasoning has been used in decision application with less domain knowledge. This paper presents the novel classification algorithm, which is regarded as the basis of the case-based reasoning application on traffic accident analysis and the early warning system. By using the classified centre vector-based classification algorithm, this method can be used to determine the traffic accident cases' affiliation roughly and as a result, to focus on the relevant retrieval scope. This method has been used in the traffic accident analysis and the corresponding early warning system. The experimental result shows the feasibility of the approach.