Download Big Data Analytics: 4th International Conference, BDA 2015, by Naveen Kumar, Vasudha Bhatnagar PDF

By Naveen Kumar, Vasudha Bhatnagar

This ebook constitutes the refereed convention complaints of the Fourth overseas convention on giant information Analytics, BDA 2015, held in Hyderabad, India, in December 2015.

The nine revised complete papers and nine invited papers have been rigorously reviewed and chosen from sixty one submissions and canopy themes on monstrous information: safeguard and privateness; large information in trade; enormous facts: types and algorithms; and large information in medicine.

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Extra info for Big Data Analytics: 4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015, Proceedings

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In: Privacy, Security and Trust (PST), pp. 84–93 (2014) 9. : Geoscope: online detection of geo-correlated information trends in social networks. Proc. VLDB Endow. 7, 229–240 (2013) 10. : Detecting future social unrest in unprocessed Twitter data: emerging phenomena and big data. In: Intelligence and Security Informatics (ISI), pp. 56–60 (2013) 11. : Identification of extremist videos in online video sharing sites. In: 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009, pp.

Barker Figure 2 also depicts the privacy protection afforded as a result of the architecture. The analyst will pose queries and the perceived flow is depicted by the dashed red arrows. The query is submitted to the query processor, which has provided the analyst with a view based on the DB Schema. The DB Schema facilitates access to the data itself that is stored in the database. The analyst sees all of the data legitimately afforded by that view so the result returned is seen as a complete answer to the query posed.

Based on our analysis we find that contextual based metadata (title, description, comments) is most commonly used feature for identifying hate promoting content. However, to find the relation between user channels and to locate their hidden communities, demographic information and activity feeds of user profile are common discriminatory features. We observe that many of the existing techniques are capable to mine multi-lingual text such as Arabic and capture relevant information. References 1. : Copyright infringement detection of music videos on YouTube by mining video and uploader meta-data.

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