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Investigation through and Clustering the Information Needs and Information Seeking Behavior of Seminary and University Students of Khorasan-e- Razavi with Neural Network Analysis
Sedigheh Mohammad Esmaeil, Jamileh Naeimi,
Volume 3, Issue 4 (3-2017)
Abstract

Background and Aim: This study aims to investigate and clustering the information needs and information seeking behavior of seminary and university students using neural network analysis in Khorasan-e- Razavi.
Methods: The quantitative study is an applied and descriptive survey conducted with neural networks analysis. Data were collected by a questionnaire based on the information needs and information seeking behavior of seminary and university students of Khorasan-e- Razavi province. It was distributed between the samples (447 samples) included of Mashhad, Sabzevar and Gonabad University of Medical Sciences faculty members, and four grade seminary students of Nawab, Ayatollah Khoui and Narjes religious schools. After collecting data, the two variables of university and religious schools students were apart for data clustering using Matlab 14 software once in general based on the main components of the study such as (the purpose and the motivation of seeking information, information sources, information barriers, information seeking skills, seeking methods and information services. Then, after deleting each sub-component of the main components of the research, the most effective and the least effective item on information needs and information seeking behavior of seminary and university students were determined.
Results: the most effective component in motivating and aim of the students for information seeking in seminary students was to help them conduct research on cultural and religious activities and in university students was to improve the quality of their teaching. The least effective component in both seminary and university students were determined as academic reputation and compete with peers.
The most effective component of the resources required by both seminary and university students were Persian full-text electronic journals. The least effective needed resources in seminary students were determined Latin books and in university students were determined theses. The most effective way to access information in the seminary schools was print resources and in university students was electronic resources and the least effective way was determined as buying needed resources. Both seminary and university students in the most and least effective component in information services in meeting their required information needs were common and the same. The most services in meeting their information needs were familiarity with a variety of resources in their special field and least effective component was determined as familiarity with RSS and podcasts.
Conclusion. According to the aim and findings of this study, by determining information seeking behavior that descends from information needs, preparing required sources for seminary and university student is one of the most important needs that must be done to solve their informations needs and provide information deciding for libraries administrators.


Designing a System for Trend Analysis of Users in Website Surfing in Iran Using Data Mining and Text Mining Algorithms
Babak Sohrabi, Iman Raeesi Vanani, Mohammad Reza Khorami,
Volume 4, Issue 2 (9-2017)
Abstract
Background and Aim: As of the entrance of web surfing to the lifestyle of a vast majority of people in the society and the need for a more accurate social and cultural policy making in the field, authors intended to analyze the behavior of the society users in viewing different websites so as to help politicians and practitioners.
Methods: Design science research method is used in this research. The data sample of research consists of all available users that surf Iranian and foreign websites. For gathering data from various active users, some add-ons were designed and published over browsers so as to gather sufficient data.
Results: Through the utilization of text mining algorithms, the browsed webpages were differentiated and using data mining algorithms, the pages were categorized and interpreted.
Conclusion: Finally, a comprehensive system was designed for the analysis of internet users’ web browsing trends which contains the data gathering phase and innovative report preparation that can be used as an effective sample for analysis, design, and implementation of web-based analytical systems.
A Comprehensive Method of Evaluating Open Government Data with the Aim of Improving Data Quality and Increasing Citizens' Willingness
Dr. Mohammad Moradi, Dr. Mojtaba Mazoochi,
Volume 8, Issue 4 (2-2022)
Abstract
Purpose: The purpose is to present an open government data evaluation method by considering comprehensive and complete dimensions and criteria - calculating the weight and importance of each criterion, examining the country in this area, clustering organizations and presenting a classification model to predict the situation.
Methodology: Library studies was used to extract the dimensions and criteria of evaluation. Population includes articles related to open government data evaluation criteria. Ten articles were reviewed by simple random sampling method. Multiple attribute decision making techniques was used to calculate the weight and importance of each criterion. Data mining techniques was incorporated to cluster and create a classification model.
Findings: By reviewing the articles 15 criteria of open government data evaluation including:  Data originality, license openness, up-to-datedness, data access rate, metadata completeness, number of data sets, format openness, non-discriminatory, comprehensible, number of data fields, free, no missing data, data request ability, visual and feedback, were extracted. Using AHP technique, the weights of the criteria were calculated, which after normalization, the total weight of the 15 extracted criteria was equal to one. "Data originality" with a weight of 0.165, " license openness " with a weight of 0.124 and " up-to-datedness" with a weight of 0.109 were ranked first to third among 15 evaluation criteria, respectively. Weight of evaluation criteria obtained and data extraction of 358 organizations in harmony with 15 evaluation criteria, the weight of organizations was calculated. The sum of the weights was equal to one. "East Azerbaijan Agricultural Jihad Organization" with a weight of 0.088, "Statistics Center of Iran" with a weight of 0.062 and "Geological Survey" with a weight of 0.058 were the first to third ranks among 358 organizations and government institutions, respectively, based on the combination of criteria and the weight of criteria.
Conclusion: Evaluation criteria obtained, calculating the weight and importance of each criterion, examining the current situation of government organizations and institutions in the country and the classification model created can help managers to understand the current situation and improve it and thus increase citizens' interaction with open government data as a kind of human information interaction.

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