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The meta-analysis of smart data international researches
Omid Aliour , Shima Moradi , Saeed Ghaffari
Phd Candidate in knowledge and information science Payame noor university
Abstract:   (127 Views)
Smart data is the raw material of many activities such as automation, intelligent systems, artificial intelligence and the fourth industrial revolution. As for the importance and efficiency of smart data. The purpose of this study is to systematic analysis of all smart data related studies published from 1980 to the end of September 2017. Also, the study of probabilistic patterns is another purpose of this research. Regarding to the Winer, Amike and Lee Search model in 2008, this articles were extracted using a systematic search in the web of science database and 220 articles were selected as the final population. They were considered to identify the authors, objective, population, countries and universities, funders, years, publication terms, citation status, keywords, subject, format, language, and authorship. The main findings show that Sen soumya (63.3%) has the highest number of articles in this field; while, The United States with 33.63 percent, Princeton University with 18.3 percent, and the National Science Foundation of China (2.72 percent) have the largest share in countries, universities, and institutions. The objectives of 72.77% articles described and intelligent data applications. 84.54% of the articles have been made on inhuman societies. Most research in this area (20.9%) was conducted in 2016. The IEEE Conference on Computer Communications Workshops has published most articles in this field (18.3%). Average citation received is 4.4 citations. The keyword "system" (18.3%) is the most common. 39.44% of the published articles are related to computer science. 52/64% of the articles were published in the form of a conference.   18.88% of articles are written in English. 90.5% of the articles are written as single authors and 94% of them are written by several writers. The results of the current study, indicate the variety and extent of the components studied.
Keywords: smart data, review, system analysis, Scientomerics. Meta-analysis.
Full-Text [PDF 1286 kb]   (79 Downloads)    
Type of Study: Review | Subject: Information Technology
Received: 2017/11/15 | Accepted: 2018/07/14
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پژوهشنامه پردازش و مدیریت اطلاعات Journal of Information processing and Management
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