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Hyun Ahn, Dinh-Lam Pham and Kwanghoon Pio Kim
Work transference network is a type of enterprise social network centered on the interactions among performers participating in the workflow processes. It is thought that the work transference networks hidden in workflow enactment histories are able to d...
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Aristeidis Karras, Anastasios Giannaros, Christos Karras, Leonidas Theodorakopoulos, Constantinos S. Mammassis, George A. Krimpas and Spyros Sioutas
In the context of the Internet of Things (IoT), Tiny Machine Learning (TinyML) and Big Data, enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive data produced by numerous connected devices. Our study introduces ...
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Majid Niazkar, Margherita Evangelisti, Cosimo Peruzzi, Andrea Galli, Marco Maglionico and Daniele Masseroni
The first flush (FF) phenomenon is commonly associated with a relevant load of pollutants, raising concerns about water quality and environmental management in agro-urban areas. An FF event can potentially transport contaminated water into a receiving wa...
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Zhihui Du, Oliver Alvarado Rodriguez, Joseph Patchett and David A. Bader
Data from emerging applications, such as cybersecurity and social networking, can be abstracted as graphs whose edges are updated sequentially in the form of a stream. The challenging problem of interactive graph stream analytics is the quick response of...
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Shengyang Li, Zhen Wang and Wanfeng Zhang
Cloud computing has become one of the key technologies used for big data processing and analytics. User management on cloud platforms is a growing challenge as the number of users and the complexity of systems increase. In light of the user-management sy...
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Fadwa Alrowais, Saud S. Alotaibi, Anwer Mustafa Hilal, Radwa Marzouk, Heba Mohsen, Azza Elneil Osman, Amani A. Alneil and Mohamed I. Eldesouki
Big Data analytics is a technique for researching huge and varied datasets and it is designed to uncover hidden patterns, trends, and correlations, and therefore, it can be applied for making superior decisions in healthcare. Drug?drug interactions (DDIs...
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Menna Ibrahim Gabr, Yehia Mostafa Helmy and Doaa Saad Elzanfaly
Data completeness is one of the most common challenges that hinder the performance of data analytics platforms. Different studies have assessed the effect of missing values on different classification models based on a single evaluation metric, namely, a...
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Kang-Ren Leow, Meng-Chew Leow and Lee-Yeng Ong
The Online Roadshow, a new type of web application, is a digital marketing approach that aims to maximize contactless business engagement. It leverages web computing to conduct interactive game sessions via the internet. As a result, massive amounts of p...
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Heba Ismail, Ashraf Khalil, Nada Hussein and Rawan Elabyad
This research proposes a well-being analytical framework using social media chatter data. The proposed framework infers analytics and provides insights into the public?s well-being relevant to education throughout and post the COVID-19 pandemic through a...
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Ronghua Xu, Yu Chen, Genshe Chen and Erik Blasch
The rapid development of three-dimensional (3D) acquisition technology based on 3D sensors provides a large volume of data, which are often represented in the form of point clouds. Point cloud representation can preserve the original geometric informatio...
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Andres Gonzalez-Nucamendi, Julieta Noguez, Luis Neri, Víctor Robledo-Rella, Rosa María Guadalupe García-Castelán and David Escobar-Castillejos
With the recent advancements of learning analytics techniques, it is possible to build predictive models of student academic performance at an early stage of a course, using student?s self-regulation learning and affective strategies (SRLAS), and their m...
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Matthew Oyeleye, Tianhua Chen, Sofya Titarenko and Grigoris Antoniou
Heart disease, caused by low heart rate, is one of the most significant causes of mortality in the world today. Therefore, it is critical to monitor heart health by identifying the deviation in the heart rate very early, which makes it easier to detect a...
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Santisook Limpeeticharoenchot,Nagul Cooharojananone,Thira Chanvanakul,Nuengwong Tuaycharoen,Kanokwan Atchariyachanvanich
Pág. pp. 87 - 106
A Big Data maturity model (BDMM) is one of the key tools for Big Data assessment and monitoring, and a guideline for maximizing the usage and opportunity of Big Data in organizations. The development of a BDMM for SMEs is a new concept and is challenging...
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Stamatis Karlos, Georgios Kostopoulos and Sotiris Kotsiantis
Multi-view learning is a machine learning app0roach aiming to exploit the knowledge retrieved from data, represented by multiple feature subsets known as views. Co-training is considered the most representative form of multi-view learning, a very effecti...
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Khaled Fawagreh and Mohamed Medhat Gaber
To make healthcare available and easily accessible, the Internet of Things (IoT), which paved the way to the construction of smart cities, marked the birth of many smart applications in numerous areas, including healthcare. As a result, smart healthcare ...
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Kostas Kolomvatsos and Christos Anagnostopoulos
The digitization of our lives cause a shift in the data production as well as in the required data management. Numerous nodes are capable of producing huge volumes of data in our everyday activities. Sensors, personal smart devices as well as the Interne...
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