Web Crawling
Abstract This is a survey of the science and practice of web crawling. While at first glance web crawling may appear to be merely an application of breadth-first-search, the truth […]
Algorithms for Automated Sentiment Analysis of Posts in Social Networks
Abstract Currently, data analysis from social networks is referred to as big data analysis (BigData). The analysis of big data is difficult primarily due to the fact that all the
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Imminent Challenges of Adoption of Big Data in Educational Systems in Sub-Saharan Africa Nations
Abstract Exponential technological development as seen in the 21st century has led to the generation of the very large volume of data in different formats and at a very high
Big Data in Education. A Bibliometric Review
Abstract The handling of a large amount of data to analyze certain behaviors is reaching great popularity in the decade 2010–2020. This phenomenon has been called Big Data. In the
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SURVEY OF WEB CRAWLING ALGORITHMS
ABSTRACT The World Wide Web is the largest collection of data today and it continues increasing day by day. A web crawler is a program from the huge downloading of
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DIGITALIZATION IN EDUCATION AS AN ENHANCING FACTOR IN TEACHING MATH
ABSTRACT The development of digitalization and digital technologies in Russia happens rapidly, changing the usual course of human life. The professional education system responds to current changes by adjusting to
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IoT 2020: Smart and secure IoT platform
Introduction Much has been written about the rapidly emerging, disruptive impact being detected on every aspect of how machines and their operational technology (OT) communicate with one other, with the
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The Ethics of Learning Analytics in Australian Higher Education
Introduction The increasing pervasiveness of data and analytics in higher education creates many new opportunities to support and enhance learning environments for students. As a result, there is growing interest
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Investigation on the Role of Learning Theory in Learning Analytics
ABSTRACT Background: Studies have shown that there is a gap between theory and practice in the use of learning analytics in educational settings. Some researchers attribute this gap to not
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An Ontological Model to Predict Dropout Students Using Machine Learning Techniques
Abstract E-learning systems become more popular than it has ever been. However the popularity of e-learning systems, still suffer from some problems related to the completion rate of online courses
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