Binding Visualization Method and Numeric Method Together to Analyze Large Data - With a Case Study
Yousuo Zou *
Computer Science Program, University of Guam, Mangilao, GU 96923, USA.
Zhiqiang Chen
Chien-Shiung Institute of Technology, Taicang, Jiangsu 215411, China.
Jinhe Xu
Chien-Shiung Institute of Technology, Taicang, Jiangsu 215411, China.
*Author to whom correspondence should be addressed.
Abstract
In this paper, the authors combine a data visualization method and a numeric analysis method, binding them together to analyze large data (Big Data). Also included is a case study selected from the water transportation industry – A port on the Yangtze River and its annual import & export productivity (104 tons /year) – used to show how our methods work step by step. Theoretical and practical efforts in this paper suggest that the proposed methods (or algorithms) are efficient for data analysis and data prediction.
Keywords: Big data analysis, visualization methods, the least square methods, case study, prediction of annual productivity, the Taicang port of Yangtze River