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Predictive and Prescriptive Analytics Tools, How to Add Value to Knowledge-Based Economy: Dubai Case Study
Innovation and technology continue to be the driving force of growing economies. The need for constant change and improvement is driven by competing...
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Using analytics to predict students’ interactions with learning management systems in online courses
In online education, it is widely recognized that interaction and engagement have an impact on students’ academic performance. While previous...
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Comparing Sensor-Based Computing and Predictive Data Analytics for Usage in Context-Aware Applications
Context-aware information systems count on sensors for establishing the user situation and adjusting their behavior accordingly. Nevertheless, there...
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Analytics
Analytics is essentially a framework that is used to gain insights into the behavior of end users. By analyzing data related to user behavior,...
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Using SAP Predictive Analytics to Analyze Individual Student Profiles in LMS Moodle
The article is devoted to an important today’s issue - the analysis of a student’s digital footprint. The authors present their experience in...
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Integrated Tool for Assisted Predictive Analytics
Organizations use predictive analysis in CRM (customer relationship management) applications for marketing campaigns, sales, and customer services,...
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Big Data Analytics in Smart Grids
In this chapter, the exploration explores applying big data analytics within the smart grid domain. The journey commences with a comprehensive...
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R for Analytics
This chapter introduces the R tool. We’ll discuss the fundamentals of R required to perform business analytics, data mining, and machine learning....
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A survey of urban visual analytics: Advances and future directions
Develo** effective visual analytics systems demands care in characterization of domain problems and integration of visualization techniques and...
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A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis
In today’s digital world, information is growing along with the expansion of Internet usage worldwide. As a consequence, bulk of data is generated...
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Predictive Load Management Using IoT and Data Analytics
The objective of this paper is to design and implement an Internet of Things (IoT) based energy data acquisition system that incorporates a Long...
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The impacts of the comprehensive learning analytics approach on learning performance in online collaborative learning
Online collaborative learning has been an effective pedagogy in the field of education. However, productive collaborative learning cannot occur...
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Unveiling Marketing Potential: Harnessing Advanced Analytics and Machine Learning for Gold Membership Strategy Optimization in a Superstore
This research paper presents a comprehensive case study conducted in a superstore, introducing a novel gold membership offer and employing...
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Learning analytics in programming courses: Review and implications
Learning analytics (LA) is a significant field of study to examine and identify difficulties the novice programmers face while learning how to...
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A decade of research into the application of big data and analytics in higher education: A systematic review of the literature
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable...
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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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Public wellbeing analytics framework using social media chatter data
Public wellbeing has always been crucial. Many governments around the globe prioritize the impact of their decisions on public wellbeing. In this...
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Toward a smart health: big data analytics and IoT for real-time miscarriage prediction
BackgroundWe are living in an age where data is everywhere and grows up in a very speedy way. Thanks to sensors, mobile phones and social networks,...
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K Means clustering and descriptive analytics based performance recommending system for Kabaddi team and player
In the contemporary era, Kabaddi is considered as a commercial game. Manual analytics were used in old times in which the best team or player was...
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Analytics-enabled authentic assessment design approach for digital education
There are known issues in authentic assessment design practices in digital education, which include the lack of freedom-of-choice, lack of focus on...
