June 2016
Beginner to intermediate
494 pages
17h 52m
English
Content preview from Big Data
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Chapter 11
Spatial Privacy Challenges in Social Networks
R.O. Sinnott; S. Sun
Abstract
New technology supporting large-scale (big) data collection and associated data analytics is challenging personal privacy in unprecedented and unforeseen ways. Big Data is typically high volume, high velocity, heterogeneous, and distributed with varying degrees of veracity. Big Data can be created and collected by individuals, organizations, or external agencies, often with the aim of applying data analytics to improve services, products, or decision-making functions that can potentially add competitive advantages. The tools and infrastructure for supporting the capture and analysis of Big Data are widespread, for example, MapReduce and ElasticSearch are ...
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