Purpose – The paper aims to investigate the rate of Iranian researchers collaboration with their colleagues in other countries in science citation index (SCI). In addition, it seeks to investigate the visibility of publications by Iranian researchers, and particularly the visibility of papers resulting from international collaboration. Design/methodology/approach – The paper employs the survey ...

BACKGROUND Due to negligence, Persian (Iranian) traditional medicine has had a weak presence in the world of research for a long time. However, in recent years, a variety of activates by research and faculty centers have created awareness and a platform to introduce and promote Persian medicine to the world. The aim of this study is to present and analyze scientific achievements of Persian medi...

Several IR tasks rely, to achieve high efficiency, on a single pervasive data structure called the inverted index. This is a mapping from the terms in a text collection to the documents where they appear, plus some supplementary data. Different orderings in the list of documents associated to a term, and different supplementary data, fit widely different IR tasks. Index designers have to choose...

This paper proposes some modest improvements to Extractor, a state-of-the-art keyphrase extraction system, by using a terabyte-sized corpus to estimate the informativeness and semantic similarity of keyphrases. We present two techniques to improve the organization and remove outliers of lists of keyphrases. The first is a simple ordering according to their occurrences in the corpus; the second ...

Although not original, the story makes an interesting introduction to the topic: Boeing’s prototype B-17 bomber stalled and crashed in 1935 on its first f light because the elevator control was left locked.1,2 The combination of the loss of life and the potential loss to the firm of the US government procurement demanded an innovative approach – and thus the checklist was born. The B-17 program...

Falling rule lists are classification models consisting of an ordered list of if-then rules, where (i) the order of rules determines which example should be classified by each rule, and (ii) the estimated probability of success decreases monotonically down the list. These kinds of rule lists are inspired by healthcare applications where patients would be stratified into risk sets and the highes...

We present an algorithm for building rule lists that is two orders of magnitude faster than previous work. Rule list algorithms are competitors for decision tree algorithms. They are associative classifiers, in that they are built from pre-mined association rules. They have a logical structure that is a sequence of IF-THEN rules, identical to a decision list or one-sided decision tree. Instead ...