ANALYSIS OF PRIVACY COMPLIANCE OF BOOTSTRAPPING IN BIG DATA SYSTEMS
International Engineering Journal For Research & Development · 2018
Bootstrap is a computer approach to get statistical accuracy. It is applied to a wide variety ofstatistical procedures like non parametric regressions, classification trees or density estimation. Thistechnique requires fewer assumptions and offers greater accuracy and insight than other standard methodsfor many problems. With the rapid increase in cloud services collecting and using user data to offerpersonalized experiences, ensuring that these services comply with their privacy policies has become abusiness imperative for building user trust. This paper mainly focus on two techniques (a) LEGALEASE and(b) GROK that can be use to maintain priavacy in bootstrapping of big data