Semantic Web data is currently being heavily used as a data representation format in scientific communities, social networks, business companies, news portals and other domains. The irruption and availability of Semantic Web data is demanding new methods and tools to efficiently analyze such data and take advantage of the underlying semantics. Although there exist some applications that make us...

exploring the usage of knowledge management from the viewpoint of urmia university faculty members     dalaimilana [1] *, fereiduni m [2]     received: 26 oct , 2013 accepted: 26 dec , 2013   abstract   background & aims : knowledge management is one of the most important factors for any given organization's success in data competition age . therefore, the present study was done aiming to ...

Most of the time, we have the raw data to conduct the necessary statistical analysis in SAS®. However, when there is only summary data available, some additional SAS coding is necessary in order to perform the hypothesis test. SAS procedures, as well as simplified macros (%SUM_TTEST, %SUM_ANOVA, %P_ANOVA, %SUM_CHI) with examples, will be discussed in this paper for chi-square test, two sample t...

A s information technologies and applications become more overwhelming and diverse, persistent information overload problems have become ever more urgent. Fallout from this trend has most affected government, specifically criminaljustice information systems. The explosive growth in the digital information maintained in the data repositories of federal, state, and local criminal-justice entities...

ANOVA provides a general approach to the analysis of single and multiple factor experiments on both one- and two-color microarray platforms. Mixed model ANOVA is important because in many microarray experiments there are multiple sources of variation that must be taken into consideration when constructing tests for differential expression of a gene. The genome is large, and the signals of expre...