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Titlebook: Advances in Machine Learning and Data Science; Recent Achievements Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu Conference proceedin

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https://doi.org/10.1007/978-1-4471-5140-1ocessing and managing the internal data using XML file. This tool collects data provenance obtrusively in a local system using self-generated log and also collects provenance data in XML format which can be visualized as a directed graph to understand the convergence. Relevant case studies of IDPC-X
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Rhinoplasty Problems and Misconceptions,atasets justify the effectiveness of the proposed clustering algorithm. Further, discussion on how the proposed clustering algorithm works in sensor-based system is provided which will be helpful for domain experts.
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M. Yamashita,H. Ishihara,T. Oyamace for finding the manipulated region in manageable time. For each extracted interest point, SIFT is used for calculating the descriptors. Now obtained descriptors are matched using the outlier rejection with nearest neighbour. Here RANSAC is used to find the best set of matches to identify the mani
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