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  1. In this research various concepts from network theory and topic modelling are combined, to provision a temporal network of associated topics. This solution is presented as a step-by-step process to facilitate ...

    Authors: Edwin Camilleri and Shah Jahan Miah

    Citation: Journal of Big Data 2021 8:124

    Content type: Methodology

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  2. Sleep loss has been linked to heart disease, diabetes, cancer, and an increase in accidents, all of which are among the leading causes of death in the United States. Population-scale sleep studies have the pot...

    Authors: Kelsey Linnell, Michael Arnold, Thayer Alshaabi, Thomas McAndrew, Jeanie Lim, Peter Sheridan Dodds and Christopher M. Danforth

    Citation: Journal of Big Data 2021 8:121

    Content type: Research

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  3. Many researchers have recently considered patients’ health and provided an optimal and appropriate solution. With the advent of technologies such as cloud computing, Internet of Things and 5G, information can ...

    Authors: Somayeh Iranpak, Asadollah Shahbahrami and Hassan Shakeri

    Citation: Journal of Big Data 2021 8:120

    Content type: Research

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  4. In this paper, we propose a novel deep learning-based feature learning architecture for object classification. Conventionally, deep learning methods are trained with supervised learning for object classificati...

    Authors: Endang Suryawati, Hilman F. Pardede, Vicky Zilvan, Ade Ramdan, Dikdik Krisnandi, Ana Heryana, R. Sandra Yuwana, R. Budiarianto Suryo Kusumo, Andria Arisal and Ahmad Afif Supianto

    Citation: Journal of Big Data 2021 8:118

    Content type: Research

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  5. The diversity and sheer increase in the number of connected Internet of Things (IoT) devices have brought significant concerns associated with storing and protecting a large volume of IoT data. Storage volume ...

    Authors: Houshyar Honar Pajooh, Mohammed A. Rashid, Fakhrul Alam and Serge Demidenko

    Citation: Journal of Big Data 2021 8:114

    Content type: Research

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  6. Process discovery helps companies automatically discover their existing business processes based on the vast, stored event log. The process discovery algorithms have been developed rapidly to discover several ...

    Authors: Riyanarto Sarno, Kelly Rossa Sungkono, Muhammad Taufiqulsa’di, Hendra Darmawan, Achmad Fahmi and Kuwat Triyana

    Citation: Journal of Big Data 2021 8:113

    Content type: Research

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  7. The design used to create labelled data for training prediction models from observational healthcare databases (e.g., case-control and cohort) may impact the clinical usefulness. We aim to investigate hypothet...

    Authors: Jenna M. Reps, Patrick B. Ryan, Peter R. Rijnbeek and Martijn J. Schuemie

    Citation: Journal of Big Data 2021 8:108

    Content type: Research

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  8. This article proposes a new parallel performance model for different workloads of Spark Big Data applications running on Hadoop clusters. The proposed model can predict the runtime for generic workloads as a f...

    Authors: N. Ahmed, Andre L. C. Barczak, Mohammad A. Rashid and Teo Susnjak

    Citation: Journal of Big Data 2021 8:107

    Content type: Research

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  9. Network Anomaly Detection is still an open challenging task that aims to detect anomalous network traffic for security purposes. Usually, the network traffic data are large-scale and imbalanced. Additionally, ...

    Authors: Nouar AlDahoul, Hezerul Abdul Karim and Abdulaziz Saleh Ba Wazir

    Citation: Journal of Big Data 2021 8:106

    Content type: Research

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  10. As one of the most popular financial market instruments, the stock has formed one of the most massive and complex financial markets in the world. It could handle millions of transactions within a short period ...

    Authors: Seng Hansun and Julio Christian Young

    Citation: Journal of Big Data 2021 8:104

    Content type: Research

    Published on:

  11. Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. In this survey, we consider how the Data Augmentation training strategy can aid in its development. We begin with...

    Authors: Connor Shorten, Taghi M. Khoshgoftaar and Borko Furht

    Citation: Journal of Big Data 2021 8:101

    Content type: Survey Paper

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  12. In this paper, we introduce three new implementations of non-native methods for storing RDF data. These methods named RDFSPO, RDFPC and RDFVP, are based respectively on the statement table, property table and ...

    Authors: Bilal Ben Mahria, Ilham Chaker and Azeddine Zahi

    Citation: Journal of Big Data 2021 8:100

    Content type: Research

    Published on:

  13. The early detection of the coronavirus disease 2019 (COVID-19) outbreak is important to save people’s lives and restart the economy quickly and safely. People’s social behavior, reflected in their mobility dat...

    Authors: Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht and Behnaz Ghoraani

    Citation: Journal of Big Data 2021 8:99

    Content type: Research

    Published on:

  14. Most of the current cancer treatment approaches are invasive along with a broad spectrum of side effects. Furthermore, cancer drug resistance known as chemoresistance is a huge obstacle during treatment. This ...

    Authors: Atousa Ataei, Niloufar Seyed Majidi, Javad Zahiri, Mehrdad Rostami, S. Shahriar Arab and Albert A. Rizvanov

    Citation: Journal of Big Data 2021 8:97

    Content type: Research

    Published on:

  15. Nowadays, urban data such as demographics, infrastructure, and criminal records are becoming more accessible to researchers. This has led to improvements in quantitative crime research for predicting future cr...

    Authors: Fateha Khanam Bappee, Amilcar Soares, Lucas May Petry and Stan Matwin

    Citation: Journal of Big Data 2021 8:96

    Content type: Research

    Published on:

  16. This paper presents a comprehensive evaluation of data pre-processing and word embedding techniques in the context of Arabic document classification in the domain of health-related communication on social medi...

    Authors: Yahya Albalawi, Jim Buckley and Nikola S. Nikolov

    Citation: Journal of Big Data 2021 8:95

    Content type: Research

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  17. Large data requirements are often the main hurdle in training neural networks. Convolutional neural network (CNN) classifiers in particular require tens of thousands of pre-labeled images per category to appro...

    Authors: Svetozar Zarko Valtchev and Jianhong Wu

    Citation: Journal of Big Data 2021 8:94

    Content type: Research

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  18. A key challenge in mining social media data streams is to identify events which are actively discussed by a group of people in a specific local or global area. Such events are useful for early warning for acci...

    Authors: Yasmeen George, Shanika Karunasekera, Aaron Harwood and Kwan Hui Lim

    Citation: Journal of Big Data 2021 8:91

    Content type: Research

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  19. The public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of data is known as big d...

    Authors: Syed Iftikhar Hussain Shah, Vassilios Peristeras and Ioannis Magnisalis

    Citation: Journal of Big Data 2021 8:89

    Content type: Research

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  20. Brain computer interface (BCI) systems have been regarded as a new way of communication for humans. In this research, common methods such as wavelet transform are applied in order to extract features. However,...

    Authors: Hamideh Soltani, Zahra Einalou, Mehrdad Dadgostar and Keivan Maghooli

    Citation: Journal of Big Data 2021 8:85

    Content type: Research

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  21. Feature selection is a pre-processing technique used to remove unnecessary characteristics, and speed up the algorithm's work process. A part of the technique is carried out by calculating the information gain...

    Authors: Maria Irmina Prasetiyowati, Nur Ulfa Maulidevi and Kridanto Surendro

    Citation: Journal of Big Data 2021 8:84

    Content type: Research

    Published on:

  22. Social media postings are increasingly being used in modern days disaster management. Along with the textual information, the contexts and cues inherent in the images posted on social media play an important r...

    Authors: Amna Asif, Shaheen Khatoon, Md Maruf Hasan, Majed A. Alshamari, Sherif Abdou, Khaled Mostafa Elsayed and Mohsen Rashwan

    Citation: Journal of Big Data 2021 8:83

    Content type: Research

    Published on:

  23. Data-driven innovation is propelled by recent scientific advances, rapid technological progress, substantial reductions of manufacturing costs, and significant demands for effective decision support systems. T...

    Authors: Morteza Noshad, Jerome Choi, Yuming Sun, Alfred Hero III and Ivo D. Dinov

    Citation: Journal of Big Data 2021 8:82

    Content type: Research

    Published on:

  24. Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degr...

    Authors: Atiq ur Rehman and Samir Brahim Belhaouari

    Citation: Journal of Big Data 2021 8:80

    Content type: Research

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  25. Social media platforms have become fundamental tools for sharing information during natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events Detection on sOcial Media During Disasters...

    Authors: Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Francesco Branda, Themis Palpanas and Muhammad Imran

    Citation: Journal of Big Data 2021 8:79

    Content type: Research

    Published on:

  26. The massive growth of internet users nowadays can be a big opportunity for the businesses to promote their services. This opportunity is not only for e-commerce, but also for other e-services, such as e-touris...

    Authors: Nunung Nurul Qomariyah and Dimitar Kazakov

    Citation: Journal of Big Data 2021 8:77

    Content type: Research

    Published on:

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