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Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study
This study examines the implementation of a Big Data Analytics (BDA) project within a major Australian freight and railway organisation. It also...
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Real-Time Health Monitoring System Using Predictive Analytics
Medical specialists are primarily interested in researching health care as a potential replacement for conventional healthcare methods nowadays....
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The Application of Big Data Predictive Analytics and Surveillance Technologies in the Field of Policing
Surveillance technologies such as Closed-Circuit Television support an effective crime-preventing strategy and offer opportunities to improve...
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Real-World Big Data Analytics Case Studies
This chapter unfolds a panoramic view across diverse sectors, unveiling the transformative impact of big data analytics on real-world challenges. The...
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Predicting the Myocardial Infarction from Predictive Analytics Through Supervised Machine Learning
The pattern variations in the ECG signal image, i.e., the ECG report image, help to identify the myocardial infarction. This paper enlightens us...
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CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics
Predictive process analytics focuses on predicting future states, such as the outcome of running process instances. These techniques often use...
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Learning analytics in distance education: A systematic review study
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this...
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Accelerating Graph Analytics Using Attention-Based Data Prefetcher
Graph analytics shows promise for solving challenging problems on relational data. However, memory constraints arise from the large size of graphs...
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Theoretical and practical data science and analytics: challenges and solutions
Big data have become a core technology for providing innovative solutions in numerical applications and services in many fields. Embedded in these...
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A design concept of big data analytics model for managers in hospitality industries
The hospitality and tourism sector has long played a significant role in Australia’s economy, especially in regional areas. Due to the onslaught of...
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AI-Driven cardiac wellness: Predictive modeling for elderly heart health optimization
The integration of the Internet of Things with the Cloud improves our lives by facilitating smooth connections between people and items. Predictive...
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Enhancing Computational Science Education Through Practical Applications: Leveraging Predictive Analytics in Box Meal Services
This paper presents a student project carried out in collaboration with a major industry partner, demonstrating the simultaneous novel application of...
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Predictive Analytics in Cloud, Fog, and Edge Computing Perspectives and Practices of Blockchain, IoT, and 5G
This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and...
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Real-Time Analytics: Benefits, Limitations, and Tradeoffs
AbstractReal-time analytics is a relatively new branch of analytics. A common definition of real-time analytics is that it consists in analyzing data...
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Learning analytics dashboard: a tool for providing actionable insights to learners
This study investigates current approaches to learning analytics (LA) dashboarding while highlighting challenges faced by education providers in...
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Have the cake and eat it too: Differential Privacy enables privacy and precise analytics
Existing research in differential privacy, whose applications have exploded across functional areas in the last few years, describes an intrinsic...
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The Potential Impacts of the National Security Uses of Big Data Predictive Analytics on Human Rights
In recent years, the fast-paced development of Big Data and the utilisation of it in predictive analytics have opened up a whole new way in which...
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Datafication Analytics
Datafication analytics analyzes data sets to draw a conclusion and gain insights from the data. It uses statistical models and computational...
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Analysing Online Review by Bank Employees: A Predictive Analytics Approach
Publicly available data on the web is a rich and important resource for generating valuable insights about our world. In this paper, we present the...
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Integrating data analytics in teaching audit with machine learning and artificial intelligence
External audit is undergoing rapid changes where more and more routine tasks are automated with analytics and artificial intelligence (AI)...
