Reza Dehkhodaie; Atefeh Sharif
Abstract
Nowadays, various online resources are growing and disseminating rapidly. In order to organize these resources, attempts have been made to use automatic classification, which often uses statistical algorithms and machine learning. Recently, attention has been drawn to the use of library classifications. ...
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Nowadays, various online resources are growing and disseminating rapidly. In order to organize these resources, attempts have been made to use automatic classification, which often uses statistical algorithms and machine learning. Recently, attention has been drawn to the use of library classifications. The main challenge here is that classification is an abstract, thought-provoking process, and machine techniques and artificial intelligence have not yet been able to completely replace the human mind. In this paper, we provide an overview of the importance of automatic classification, machine learning, and practical algorithms and techniques of clustering and classification like K-nearest neighbor, Bayesian models, artificial neural networks, deep learning, and hybrid classifications. Also, the steps of automatic classification of web pages and the techniques used in each step were mentioned. Achieving a clearer understanding of automatic classification will enable LIS experts to communicate with experts in the field of artificial intelligence and computers. This could pave the way for interdisciplinary research.
Reza Dehkhodaei; Ali Mansouri; Amin Erfanmanesh
Abstract
This study seeks to determine the level of knowledge and skills of PhD students in publishing their resources in scholarly journals and assess the relationship between publishing skills in journals and variables of field, gender, age and its relationship with the number of articles published in national ...
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This study seeks to determine the level of knowledge and skills of PhD students in publishing their resources in scholarly journals and assess the relationship between publishing skills in journals and variables of field, gender, age and its relationship with the number of articles published in national and international journals. Finally, the impact of participating in related workshops is on the level of this skill. Methodology is an applied type with a quantitative and survey method. The statistical population includes all PhD students at the University of Isfahan in the number of 2432 people. The sampling was stratified random, the volume of which was estimated to be 332 using Krejcie and Morgan table, The skills rate of students was moderate and varied in different fields. But gender and age had no effect on its rate. The level of literacy was also positively correlated with the number of articles published in internal and international journals, and participation in related workshop increased its average score. Since the students' skills were moderate, this research could be the beginning of a study that, like information literacy, creates a framework called publishing literacy in scholarly journals for novice researchers to benefit from. The results indicated the acquisition of this skill, the need to plan related training courses, the impact of the author's role in increasing this skill, the need to modify and pay attention to regulations and criteria for student admission, and the importance of holding related training workshops by universities.