Information theory (IT) is an excellent framework for analyzing Earth system data because it enables us to characterize uncertainty and redundancy universally interpretable. However, accurately estimating information content challenging spatiotemporal are high-dimensional heterogeneous have nonlinear characteristics. In this article, we apply multivariate Gaussianization probability density est...

Aiming at the problems in the management and sharing research of antique information, this paper discussed the necessity to build antique information distributed data warehouse. The data warehouse architecture and the multidimensional data model were put forward, by usingonline analysis processing (OLAP) the multidimensional analysis of antique distributed data warehouse was presented, and a mu...

Users of a business intelligence (BI) system employ an approach referred to as online analytical processing (OLAP) view multidimensional data from different perspectives. Query languages, e.g., SQL or MDX, allow for flexible querying but query formulation is often time-consuming and cognitively challenging many users. Alternatives using language, graphical OLAP clients, parameterized reports, d...

Objective Training needs are multidimensional needs affected by the social and cultural background, level of knowledge and personal and health conditions. This study was conducted to explain the needs of Iranian infertile couples for the design of a training software. MaterialsAndMethods This qualitative study used content analysis to examine its participants, which consisted of ten infertile p...

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 ...