Browsing by Author "Rashmi I, Chamakeri"

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    Big Data Analytics for Anomaly Detection is Online Reviews
    (2018-09-06T12:37:21Z) Rashmi I, Chamakeri; Roshnee Krishna, Murthy; T, Roja; Vaishnavi, M
    Big Data is an evolving term that describes any voluminous amount of heterogeneous data with respect to (3v) variety, volume and velocity of the data. In a business model, the feedback of the customers is a primary concern as their review plays a crucial role in the business development. In the existing system, the detection of anomalies in wireless mobile networks is carried out by using spatio-temporal information about a user through big data analytics. This method involves anomaly detection but does not specify the type of anomaly. We propose a system that determines if the review given by a user about a particular event is true by tracking the location of the user in a backend process. We achieve this by using truth discovery algorithm, sentimental analysis and android-web server communication using WAP. This increases the security of the user and also enhances the performance of the system, regardless of the size of the dataset along with providing accurate results.