Title: Big and high dimensional data in the digital world: statistical, computational and privacy challenges
Authors: Vanisree Ramanathan; Swapnil Sudhir Bangali
Addresses: Symbiosis Law School, Symbiosis International University, Pune, India ' Symbiosis Law School, Symbiosis International University, Pune, India; SCALSAR, Symbiosis International University, Pune, India
Abstract: Big data holds great promises and opportunities for discovering subtle population patterns and heterogeneities that are not possible with small-scale data. Huge size and high dimensionality of big data introduce various statistical, computational, legal and privacy challenges. These challenges are distinguished and formidable, and require new statistical, computational and legal paradigm. In this paper, we present a brief non-technical overview of the salient features of big and high dimensional data; explain how these features impact on paradigm changes on statistical, computational and legal aspects. The paper ends with some concluding remarks about these new challenges and future research directions.
Keywords: big data analytics; high dimensional data; legal challenges; privacy challenges; statistical challenges; computational challenges.
International Journal of Automation and Logistics, 2016 Vol.2 No.4, pp.369 - 387
Received: 21 May 2016
Accepted: 09 Jul 2016
Published online: 14 Nov 2016 *