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Articles 1 - 4 of 4
Full-Text Articles in Engineering
Parallel Algorithms For Scalable Graph Mining: Applications On Big Data And Machine Learning, Naw Safrin Sattar
Parallel Algorithms For Scalable Graph Mining: Applications On Big Data And Machine Learning, Naw Safrin Sattar
University of New Orleans Theses and Dissertations
Parallel computing plays a crucial role in processing large-scale graph data. Complex network analysis is an exciting area of research for many applications in different scientific domains e.g., sociology, biology, online media, recommendation systems and many more. Graph mining is an area of interest with diverse problems from different domains of our daily life. Due to the advancement of data and computing technologies, graph data is growing at an enormous rate, for example, the number of links in social networks is growing every millisecond. Machine/Deep learning plays a significant role for technological accomplishments to work with big data in modern …
Security And Privacy Enhancing Technologies In The Deep Learning Era, Gamage Dumindu Samaraweera
Security And Privacy Enhancing Technologies In The Deep Learning Era, Gamage Dumindu Samaraweera
USF Tampa Graduate Theses and Dissertations
Our search queries, online purchase transactions, the videos we watch, and our movie preferences are a few types of information collected and stored daily. This private data collection happens within our mobile devices and computers, on the streets, and in our homes, most of the time even without our consent. Nevertheless, advances in artificial intelligence (AI) in the big data era have increased the capability to capitalize on and benefit from the collection of this private data. Such private data is being used for various machine learning (ML) applications in different domains, such as marketing, insurance, financial services, mobility, social …
Machine Learning With Big Data For Electrical Load Forecasting, Alexandra L'Heureux
Machine Learning With Big Data For Electrical Load Forecasting, Alexandra L'Heureux
Electronic Thesis and Dissertation Repository
Today, the amount of data collected is exploding at an unprecedented rate due to developments in Web technologies, social media, mobile and sensing devices and the internet of things (IoT). Data is gathered in every aspect of our lives: from financial information to smart home devices and everything in between. The driving force behind these extensive data collections is the promise of increased knowledge. Therefore, the potential of Big Data relies on our ability to extract value from these massive data sets. Machine learning is central to this quest because of its ability to learn from data and provide data-driven …
Learning Analytics For The Formative Assessment Of New Media Skills, Negar Shabihi
Learning Analytics For The Formative Assessment Of New Media Skills, Negar Shabihi
Electronic Thesis and Dissertation Repository
Recent theories of education have shifted learning environments towards student-centred education. Also, the advancement of technology and the need for skilled individuals in different areas have led to the introduction of new media skills. Along with new pedagogies and content, these changes require new forms of assessment. However, assessment as the core of learning has not been modified as much as other educational aspects. Hence, much attention is required to develop assessment methods based on current educational requirements. To address this gap, we have implemented two data-driven systematic literature reviews to recognize the existing state of the field in the …