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Vincent Huang has a great set of posts at Ericsson labs on preserving privacy in big data analytics. Over the last few years there has been a growing trend in the international development world to highlight the use of big data for development. Using mobile telephony call records, twitter postings etc as raw data sets that can be mined for indicators of social circumstances and systemic change. A key first step in this process is anonymizing the data so individuals cannot be easily identified from distilled results. Vincent's work discusses the requirements and algorithms used and is both a fascinating and essential read for anyone working in this area. Must read posts if you are involved in big data for development or working with private individual identifiable data sets. Click on the image or title to learn more.
