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Titlebook: Data Science Analytics and Applications; First International Shriram R,Mak Sharma Conference proceedings 2018 Springer Nature Singapore Pt

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Supriyo Mandal,Abyayananda Maitist methods. The performance of classifiers was evaluated using the True Positive Rate (TPR) obtained at various thresholds from the ROC curve and the area under ROC curve. For the said application, Random Forest method is found to provide a stable TPR with the augmented dataset compared to the raw dataset.
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A Simple Model of Knowledge Scaffolding DNA based cryptosystem comprising key generation, encoding, and encryption, decryption methodologies. The detailed performance and security analysis with their results are shown to support the strength of our algorithm towards reducing the computational complexity as well as the storage complexity and thereby achieving an enhanced security.
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Data Augmentation Techniques for Classifying Vertebral Bodies from MR Images,st methods. The performance of classifiers was evaluated using the True Positive Rate (TPR) obtained at various thresholds from the ROC curve and the area under ROC curve. For the said application, Random Forest method is found to provide a stable TPR with the augmented dataset compared to the raw dataset.
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Towards Secure DNA Based Cryptosystem, DNA based cryptosystem comprising key generation, encoding, and encryption, decryption methodologies. The detailed performance and security analysis with their results are shown to support the strength of our algorithm towards reducing the computational complexity as well as the storage complexity and thereby achieving an enhanced security.
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Conference proceedings 2018Chennai, India, in January 2017.. The 16 revised full papers and 4 revised short papers presented were carefully reviewed and selected from 77 submissions. The papers address issues such as data analytics, data mining, cloud computing, machine learning, text classification and analysis, information
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A Comparative Study of Task and Fault Tolerance Clustering Techniques for Scientific Workflow Appling mechanisms that are suitable for the scientific workflow along with the fault tolerance mechanisms that help to make the system robust. The analysis of the performance of various clustering algorithms is also discussed in this paper.
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Frequent Pattern Mining Guided Tabu Search,on employing SPM and hence result in improved convergence, in relation to conventional Tabu Search. The proposed algorithm has been tested for the N-Queens problem and empirical results indicate approximately 21% improved convergence.
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1865-0929 , held in Chennai, India, in January 2017.. The 16 revised full papers and 4 revised short papers presented were carefully reviewed and selected from 77 submissions. The papers address issues such as data analytics, data mining, cloud computing, machine learning, text classification and analysis, in
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