Big Data Research Analysis Based on Bibliometrics

Challenges and opportunities for analysis based research in big data

Bibliometrical Analysis on the Big Data Research in China

The author investigated the big data papers included China Academic Journal Network Publishing Database of CNKI from 2002 to 2012, with the help of multivariate statistical analysis tools SPSS17.0 of cluster analysis, multidimensional scaling analysis and visualization tools Ucinet6 from posting growth law, distribution of authors, research institutes distribution, periodical distribution, and ...

Research Activity Classification based on Time Series Bibliometrics

INTRODUCTION In this paper, we aim to discover “distinguished” researchers who have not been widely known based on bibliometrics. In many cases, some criteria concerning the amount of research achievements, such as the number of papers published and citations received, are determined, and then the research activities are evaluated regarding whether the criteria are satisfied. However, the simpl...

Big Data Analysis Based on Mathematical Model: a Comprehensive Survey

Increasing web services day by day and huge volume of data is also increasing exponentially. Processing a large amount of data efficiently can be a substantial problem. Currently, the method for processing a large amount of data comprises adopting parallel computing. Big data is an all-encompassing term for any collection of data sets so large and complex that it becomes difficult to process th...

Privacy-Preserved Big Data Analysis Based on Asymmetric Imputation Kernels

This study presents an efficient approach for incomplete data classification, where the entries of samples are missing or masked due to privacy preservation. To deal with these incomplete data, a new kernel function with asymmetric intrinsic mappings is proposed in this study. Such a new kernel uses three-side similarities for kernel matrix formation. The similarity between a testing instance a...