Titlebook: Big Data Analytics; 6th International Co Anirban Mondal,Himanshu Gupta,D.V.L.N. Somayajulu Conference proceedings 2018 Springer Nature Swit

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CbI: Improving Credibility of User-Generated Content on Facebookures and models to develop a RESTful API and a Chrome browser extension to rank posts for its credibility in real-time. The random forest algorithm performed the best and achieved ROC AUC of 0.916, 0.875, and 0.851 for A-C-T respectively.

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A Parallel Approach to Detect Communities in Evolving Networks nodes and their neighbors. We also derive a new model to perform community merging, based on common high degree nodes present in both the communities. We tested our algorithm on various real-world networks for our experimentation. Results show that, . produce satisfactory output with respect to var

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Blockchain-Powered Big Data Analytics Platform and documents captured within various ledgers are getting bigger and bigger. Blockchains provide enterprises and consumers with greater confidence in the integrity of the captured data. This gives rise to the new level of analytics that marries the advantages of both blockchain and big data technol

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Fusion of Game Theory and Big Data for AI Applications amount of our time and a significant number of tasks are getting performed online. As the world moves faster towards more automation and as concepts such as IoT catch up, a lot more (data generation) devices are getting added online without needing the involvement of human agents. The result of all

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Testing Concept Drift Detection Technique on Data Streamary of such dynamic cognitions and modifications in the data stream which leads to change in the behaviour of the model. The problem of concept drift affects the prognostication quality of the software and thus reduces its precision. In most of the drift detection methods, it is followed that there