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A GIS enhanced data analytics approach for predicting nursing home hurricane evacuation response
Nursing homes (NHs) are responsible for caring for frail, older adults, who are highly vulnerable to natural disasters, such as hurricanes. Due to...
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Business Analytics Process
This chapter covers the process and life cycle of business analytics projects. We discuss various steps in the analytic process, from understanding...
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Supervised machine learning predictive analytics for alumni income
BackgroundThis paper explores machine learning algorithms and approaches for predicting alum income to obtain insights on the strongest predictors...
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Big Data Analytics Platforms
This chapter explores big data analytics platforms by shedding light on their essential characteristics for processing and deciphering vast datasets.
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Pandemic Analytics: How Countries are Leveraging Big Data Analytics and Artificial Intelligence to Fight COVID-19?
Emergence of coronavirus in December 2019 and its spread across the world in the following months has made it a global health concern. The...
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Orchestration Extensions for Interference- and Heterogeneity-Aware Placement for Data-Analytics
Today, there is an ever-increasing number of workloads pushed and executed on the Cloud. Data center operators and Cloud providers have embraced...
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Big Data Analytics in Bioinformatics
This chapter introduces the intricate interplay between big data analytics and bioinformatics, providing a comprehensive perspective on leveraging...
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Latency and resource consumption analysis for serverless edge analytics
The serverless computing model, implemented by Function as a Service (FaaS) platforms, can offer several advantages for the deployment of data...
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Conceptualizing Analytics: An Overview of Business Intelligence and Analytics from a Conceptual-Modeling Perspective
Business intelligence and data analytics projects often involve low-level, ad hoc data wrangling and programming, which increases development effort...
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Introducing Practicable Learning Analytics
Learning analytics have been argued as a key enabler to improving student learning at scale. Yet, despite considerable efforts by the learning...
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Deep Learning Based Predictive Analytics for Decentralized Content Caching in Hierarchical Edge Networks
The content-centric network is a state-of-the-art networking architecture for content distribution and content caching. However, it is inefficient to...
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A learning analytics dashboard for data-driven recommendations on influences of non-cognitive factors in introductory programming
Research so far has overlooked the contribution of students’ noncognitive factors to their performance in introductory programming in the context of...
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Enhancing historical thinking through learning analytics in Primary Education: A bridge to formative assessment
History teaching from early educational stages not only should assess the student's ability to memorise historical content, but also their ability to...
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A Fog-Based Multi-Purpose Internet of Things Analytics Platform
Data analytics is an important component for the benefit and growth of the Internet of Things (IoT). The utilization of data generated by a variety...
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Designing and evaluating a big data analytics approach for predicting students’ success factors
Reducing student attrition in tertiary education plays a significant role in the core mission and financial well-being of an educational institution....
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Bosch’s Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support
Industry 4.0, characterized by the development of automation and data exchanging technologies, has contributed to an increase in the volume of data,...
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Hybrid deep learning framework for weather forecast with rainfall prediction using weather bigdata analytics
The volume and complexity of weather data, along with missing values and high correlation between collected variables, make it challenging to develop...
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The use of Big Data Analytics in healthcare
The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management....
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Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction...
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Capturing the Wealth and Diversity of Learning Processes with Learning Analytics Methods
The unique position of learning analytics at the intersection of education and computer science while reaching out to several other disciplines such...