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As a density clustering method, DBSCAN clustering algorithm can automatically determine the number of clusters and effectively deal with the clusters of arbitrary shape, but the choice of global parameter Eps and MinPts require manual intervention and the region query process is complex and such query mode easily lose objects. In order to solve the above problems, improved adaptive parameters choice...
Due to the existing Apriori association rules data mining algorithms require to scan the database many times and generate a large numbers of candidate sets, which produce giant I/O expense issues, result in low data mining computational efficiency. Matrix algorithms can improve the efficiency in computing frequency 2-itemset, but not delete non-frequency item set before calculation, not effectively...
In this paper, an effective steganalysis method based on Markov transition matrix is proposed to attacking the advanced JPEG steganographic schemes. As the horizontal and vertical scan modes failed to detect F5 steganography with low imbedding-rate, zigzag scanning pattern is developed to arrange both DCT (Discrete Cosine Transform) blocks and coefficients in each block. Difference computation was...
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