Titlebook: Intelligent Information and Database Systems; 4th Asian Conference Jeng-Shyang Pan,Shyi-Ming Chen,Ngoc Thanh Nguyen Conference proceedings

并入

Lijun Yan,Shu-Chuan Chu,John F. Roddick,Jeng-Shyang Pan

确定方向

难管

信任

Lattice Based Associative Classifiernd a subset of non-conflicting ClosedCARs which covers the entire training set is chosen as a classifier. The entire process is independent of the interestingness measure. Experimental results on benchmark datasets from UCI machine repository reveal that the achieved classifiers are more accurate than those built using existing approaches.

宴会

1分开

A (2, 2) Secret Sharing Scheme Based on Hamming Code and AMBTCcheme uses meaningful AMBTC compressed images. Experimental results show that the reconstructed secret sharing images are the same as the original secret sharing images and that the proposed scheme exhibits good performance compared to that of previous schemes.

冬眠

Insufficient

inhumane

Improving Nearest Neighbor Classification by Elimination of Noisy Irrelevant Featuresimental results show that the proposed method can substantially improve the classification performance of .-NN algorithm in comparison with the other classifiers (in the realm of feature selection) such as C4.5, SVM, and Relief. Furthermore,this method is able to eliminate the noisy irrelevant features from the synthetic data sets.

必死

An Efficient Clustering Algorithm Based on Histogram Thresholdl clustering method and Otsu’s method. Compared with traditional clustering algorithm, our proposed method would save at leastten several times of execution time without losing the accuracy. From the experiments, we find that the performance with regard to speed up the execution time of the HTCA is much better than traditional methods.