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Now a days, the Twitter has become a most trusted platform of on-line micro-texts (tweets) for monitoring the public sentiment for any entity (events, topic or products). In recent years, many approaches have been used for sentiment analysis of on-line micro-texts in a manner to predict the public opinion for real world entities. However, the accuracy of prediction is highly dependent on the accuracy...
Failure of a task running on a Hadoop cluster is highly expensive in terms of computational time. A failure occurring even at the end phase of the task may cause the need to redo the entire task. Thus is really important to deploy fault tolerant techniques. Hadoop deploys a technique of checkpointing to prevent data loss. However, computational time-loss still pose a grim threat to critical applications...
Machine learning is the science of getting computers to learn from data without being unambiguously programmed. Instigated two supervised classification problem (Heart disease prediction and Springleaf Marketing Response) using machine learning algorithms. In heart disease prediction, the objective is to envisage the status of heart disease which can be 0, 1, 2, 3 and 4. These 5 classes are not cleared...
In this paper, we have formulated a solution for proxy usages in a network. We all are surrounded with digital signatures around us, we just need to filter those to make our network clean, secure, efficient. Is what we did in this research work. There is also a great need of load optimization at different points in the network. We have proposed a way to use machine learning and neural networks to...
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