Titlebook: High-Performance Computing and Big Data Analysis; Second International Lucio Grandinetti,Seyedeh Leili Mirtaheri,Reza Sha Conference procee

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Genome of Human-Enabled Big Data Analyticsers better, provide better services and increase their income. Recently, after the emergence of crowdsourcing techniques, people are also involved in the process of big data analysis. Inclusion of human computing power, while helps improve the quality of the results, can raise serious challenges tha

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A Distributed Method Based on Mondrian Algorithm for Big Data Anonymizationabases and are incapable of handling big data. The leading method of privacy preservation in data publishing is called de-identification, and one of the best-known techniques of de-identification is k-anonymity. The Mondrian algorithm is among the best and fastest algorithms developed for implementi

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An Ensemble Angle-Based Outlier Detection for Big Data diagnosis and data cleaning. However, traditional outlier detection techniques tend to fail in dealing with high-dimensional data especially when they encounter with big data. By the continues generation of data, we are facing massive datasets rather than just high dimensional data, in such conditi

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Big Data Analytics Help Prevent Adolescents Suicide: An Introduction to Mindpalscent mental health is in urgent need of better methods to lower suicide risk and psychiatric re-admission rates after discharge from inpatient psychiatry. Frequent follow-up is needed to detect fluctuations in suicide risk factors, such as sleep problems, mood disturbances and social withdrawal. Mo

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