information avalanche (overload or expansion) in various scientific fields is a novel issue turned out by a number of factors considered necessary to facilitate their record and registration. though, the biological science and its diverse fields like proteomics are not immune of this event and even may be as the event’s herald. on the other hand, time as the most valued anxiety of human has enc...

Data Warehouses and statistical databases (Shoshani 1997) contain both numerical attributes (measures) and categorical attributes (dimensions). These data are often stored within a relational database with an associated hierarchical structure. There are few algorithms to date that explicitly exploit this hierarchical structure when carrying out knowledge discovery on such data. We look at a num...

We describe the main features of the households databases we can find in most of our National Statistics Institute. We provide algorithms aimed at extracting a diversity of variables on which different statistical procedures may be applied. Here, we particularly focus on the scaled income, as a beginning. Associated codes (MS Visual Basic TM and R codes) have been successfully tested and delive...

1. Data collection and data dissemination although on two different ends of the statistical data production influences each other. For respondents it might not be easy and straightforward to query and find relevant data in the statistical databases on the (National Statistical Institutes) NSIs’ websites (Bavdaž et al, 2011). As a consequence motivation to cooperate in surveys might decreases an...

For the last several years, a number of researchers have been interested in the various problems which arise when modelling aggregate-type data [1st SDBM], [2nd SDBM], [3rd SSDBM], [Rafanelli 89]. Since aggregate data is often derived by applying statistical aggregation (e.g. SUM, COUNT) and statistical analysis functions over micro-data [Wong 84] the aggregate data bases are also called "stati...

We are often faced with the challenge of mining data represented in relational form. Unfortunately, most statistical learning methods work only with “flat” data representations. Thus, to apply these methods, we are forced to convert the data into a flat form, thereby not only losing its compact representation and structure but also potentially introducing statistical skew. These drawbacks sever...

introduction: web citations (urls) are at risk of decay and can be easily fade because of the variable and unstable nature of the internet. so, the purpose of this research was to assess web citation accessibility and decay of articles published in journal of the medical library association (jmla). methods: in this applied– descriptive study, jmla articles (231) in a seven year period (from 200...

Introduction. Statistical information for LCA is increasingly becoming available in databases. At the same time, processing of statistical information is increasingly becoming easier by software for LCA. A practical problem is that there is no unique unambiguous representation for statistical distributions. Representations. This paper discusses the most frequently encountered statistical distri...

introduction: most physicians consider abstracts to give a general idea about the full text of an article. abstracts, as summative and informative parts, contain main information of papers. they also point out the content of papers to readers. the importance of abstracts leads journals to be stricter about their structure and content. this study aimed to assess the abstracts of randomized contr...