CORE/NON-CORE Configuration Within BIG-DATA Analytics

• Activity Number: 246
• Type: Contributed
• Date/Time: Monday, August 10, 2015 : 2:00 PM to 5:50 PM
• Sponsor: Health Policy Statistics Section
• Author(s): Turkan Kumbaraci Gardenier* and George H. Gardenier and John S. Gardenier
• Companies: Pro-File Computer Institute and Postdoctoral Fellow and National Center for Health Statistics (Retired)
• Keywords: Big-Data ; core/non-core ; Trinary ; time domain ; air quality

Abstract

The authors expand on a Trinary or Triomial-based approach presented in two preceding annual Joint Statistical Meetings, tailoring the procedure to data streaming into Big Data. Core is defined as the central (0) region, with two adjoining Non-core (+) and (-) regions. Analytic issues related to streaming data, as contrasted with data analyzed as a whole,are summarized. Characteristics of Trinary (+/0/-) three-category approach are presented and contrasted with two-category or Binomial formulations. Two applications are included: (a) air quality monitoring for Nitrogen Dioxide spanning 20 years (1991 - 2010) in two cities in the US, and (b) lung cancer mortality data as examples of a vast array of significant issues in environment, genomics, economics, energy, public healthy and education which can benefit from this exploratory approach.