Titlebook: Big Data in Engineering Applications; Sanjiban Sekhar Roy,Pijush Samui,Stavros Ntalampir Book 2018 Springer Nature Singapore Pte Ltd. 2018

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Understanding How Big Data Leads to Social Networking Vulnerability,tos, connections, statuses) could lead to an unprecedented level of intrusiveness and familiarity with sensitive personal information. Support for the view that this potential for abuse of private information is being exploited was found in research describing the rapid adaptation of malware to soci

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BWT: An Index Structure to Speed-Up Both Exact and Inexact String Matching, ., to record the mismatches between . and . during a search of .(.) against .. In this process, the mismatching tree can be effectively utilized to do some kind of useful mismatching information derivation based on .(.) to avoid any possible redundancy. Extensive experiments have been done to compa

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Traffic Condition Monitoring Using Social Media Analytics,weets data. The preliminary results show that the proposed methodology, comparatively tested for accuracy and precision with another approach employing Latent Dirichlet Allocation is sufficient for predicting traffic flow in order to effectively improve the road traffic condition.

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Precambrian of the North American Craton,ng the accuracy of the applications that are depending on the topographic data. The analyses of micro-level topographic surfaces are particularly important for a series of geospatially related engineering applications. However, the generation of very high resolution DEM using, for example, LiDAR dat

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https://doi.org/10.1007/978-1-349-15613-9ance. This architecture comes in the form of an analytical framework that lies on big-data and cloud-computing technologies aimed to cope with the demands of the crowd-sourced data analysis in terms of latency and data volume. This framework is proposed to be applied to the Smart Cities and the Inte