01409nas a2200157   4500008004100000245010200041210006900143260000900212300001200221490000700233520091300240653001701153100001601170700001601186856004901202       2016                        eng d00aData Analytics and Consumer Profiling: Finding Appropriate Privacy Principles for Discovered Data0 aData Analytics and Consumer Profiling Finding Appropriate Privac  c2016  a696-7140 v323 aIn Big Data, the application of sophisticated data analytics to very large datasets makes it possible to infer or derive (“to discover”) additional personal information about consumers that would otherwise not be known from examining the underlying data. The discovery and use of this type of personal information for consumer profiling raises significant information privacy concerns, challenging privacy regulators around the globe. This article finds appropriate privacy principles to protect consumers’ privacy in this context. It draws insights from a comparative law study of information privacy laws in the United States and Australia. It examines draft consumer privacy legislation from the United States to reveal its strengths and weaknesses in terms of addressing the significant privacy concerns that relate to Big Data’s discovery of personal data and subsequent profiling by businesses.10aBusiness Law1 aKing, Nancy1 aForder, Jay  uhttp://dx.doi.org/10.1016/j.clsr.2016.05.002