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  1. Content type: Research

    This paper presents our research on the development of navigation systems of autonomous drone for delivering items that uses a GNSS (Global Navigation Satellite System) and a compass as the main tools in drone...

    Authors: Aurello Patrik, Gaudi Utama, Alexander Agung Santoso Gunawan, Andry Chowanda, Jarot S. Suroso, Rizatus Shofiyanti and Widodo Budiharto

    Citation: Journal of Big Data 2019 6:53

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  2. Content type: Research

    Adversarial attacks represent a serious evolving threat to the operation of deep neural networks. Recently, adversarial algorithms were developed to facilitate hallucination of deep neural networks for ordinar...

    Authors: Alaa E. Abdel-Hakim

    Citation: Journal of Big Data 2019 6:51

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  3. Content type: Survey paper

    Recently, big data streams have become ubiquitous due to the fact that a number of applications generate a huge amount of data at a great velocity. This made it difficult for existing data mining tools, techno...

    Authors: Taiwo Kolajo, Olawande Daramola and Ayodele Adebiyi

    Citation: Journal of Big Data 2019 6:47

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  4. Content type: Research

    Data scientists need scalable methods to explore and clean big data before applying advanced data analysis and mining algorithms. In this paper, we propose the RSP-Explore method to enable data scientists to i...

    Authors: Salman Salloum, Joshua Zhexue Huang and Yulin He

    Citation: Journal of Big Data 2019 6:45

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  5. Content type: Methodology

    Data validation is about verifying the correctness of data. When organisations update and refine their data transformations to meet evolving requirements, it is imperative to ensure that the new version of a w...

    Authors: Raya Rizk, Steve McKeever, Johan Petrini and Erik Zeitler

    Citation: Journal of Big Data 2019 6:41

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  6. Content type: Methodology

    Big data architectures have been gaining momentum in recent years. For instance, Twitter uses stream processing frameworks like Apache Storm to analyse billions of tweets per minute and learn the trending topi...

    Authors: Marcello M. Bersani, Francesco Marconi, Damian A. Tamburri, Andrea Nodari and Pooyan Jamshidi

    Citation: Journal of Big Data 2019 6:40

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  7. Content type: Methodology

    Pattern mining is a powerful tool for analysing big datasets. Temporal datasets include time as an additional parameter. This leads to complexity in algorithmic formulation, and it can be challenging to proces...

    Authors: Sofya S. Titarenko, Valeriy N. Titarenko, Georgios Aivaliotis and Jan Palczewski

    Citation: Journal of Big Data 2019 6:37

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  8. Content type: Research

    We study the the spread and adoption of libraries within Python projects hosted in public software repositories on GitHub. By modelling the use of Git pull, merge, commit, and other actions as deliberate cogni...

    Authors: Rachel Krohn and Tim Weninger

    Citation: Journal of Big Data 2019 6:36

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  9. Content type: Research

    The global popularity of social media platforms has given rise to unprecedented amounts of data, much of which reflects the thoughts, opinions and affective states of individual users. Systematic explorations ...

    Authors: Aamna Al Shehhi, Justin Thomas, Roy Welsch, Ian Grey and Zeyar Aung

    Citation: Journal of Big Data 2019 6:33

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  10. Content type: Methodology

    We address the problem of detecting highly raised crowd density in situations such as indoor dance events. We propose a new method for estimating crowd density by anonymous, non-participatory, indoor Wi-Fi loc...

    Authors: Sonja Georgievska, Philip Rutten, Jan Amoraal, Elena Ranguelova, Rena Bakhshi, Ben L. de Vries, Michael Lees and Sander Klous

    Citation: Journal of Big Data 2019 6:31

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  11. Content type: Survey paper

    The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective classification with imbalanced data is an important area of research, as high class imb...

    Authors: Justin M. Johnson and Taghi M. Khoshgoftaar

    Citation: Journal of Big Data 2019 6:27

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  12. Content type: Research

    Prevention of hospital readmissions has the potential of providing better quality of care to the patients and deliver significant cost savings. A review of existing readmission analysis frameworks based on dat...

    Authors: Piyush Jain, Ankur Agarwal, Ravi Behara and Christopher Baechle

    Citation: Journal of Big Data 2019 6:26

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  13. Content type: Methodology

    Critical systems that produce big data streams can require human operators to monitor these event streams for changes of interest. Automated systems which oversee many tasks can still have a need for the ‘huma...

    Authors: Alexander V. Mantzaris, Thomas G. Walker, Cameron E. Taylor and Dustin Ehling

    Citation: Journal of Big Data 2019 6:24

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  14. Content type: Methodology

    This study represents an efficient method for extracting product aspects from customer reviews and give solutions for inferring aspect ratings and aspect weights. Aspect ratings often reflect the user’s satisf...

    Authors: Tu Nguyen Thi Ngoc, Ha Nguyen Thi Thu and Viet Anh Nguyen

    Citation: Journal of Big Data 2019 6:22

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  15. Content type: Research

    The Internet of Things (IoT) facilitates creation of smart spaces by converting existing environments into sensor-rich data-centric cyber-physical systems with an increasing degree of automation, giving rise t...

    Authors: Rustem Dautov, Salvatore Distefano and Rajkumaar Buyya

    Citation: Journal of Big Data 2019 6:19

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  16. Content type: Methodology

    Deep Learning is an increasingly important subdomain of artificial intelligence, which benefits from training on Big Data. The size and complexity of the model combined with the size of the training dataset ma...

    Authors: Robert K. L. Kennedy, Taghi M. Khoshgoftaar, Flavio Villanustre and Timothy Humphrey

    Citation: Journal of Big Data 2019 6:16

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  17. Content type: Survey paper

    Currently, the data to be explored and exploited by computing systems increases at an exponential rate. The massive amount of data or so-called “Big Data” put pressure on existing technologies for providing sc...

    Authors: Somnath Mazumdar, Daniel Seybold, Kyriakos Kritikos and Yiannis Verginadis

    Citation: Journal of Big Data 2019 6:15

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  18. Content type: Research

    Global environmental pollution caused by human activities has become a threat to public health. Children are especially susceptible to adverse environmental conditions owing to their unique physiological and b...

    Authors: Guang-jun Yu, Jian-lei Gu, Wen-bin Cui, Jian-ping Jiang, Yang Wang, Georgi Z. Genchev, Ting Lu and Hui Lu

    Citation: Journal of Big Data 2019 6:14

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  19. Content type: Methodology

    In many real-world contexts, there is a pressing need to automatically screen for potential perpetrators, such as school shooters, whose prevalence in the population is extremely low. We first explain one poss...

    Authors: Yair Neuman, Yochai Cohen and Yiftach Neuman

    Citation: Journal of Big Data 2019 6:9

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  20. Content type: Survey Paper

    Annually, lots of research papers are published in scientific journals around the world. The knowledge of the status of research is a prerequisite for research planning and policy making. This type of knowledg...

    Authors: Fatemeh Soleimani-Roozbahani, Ali Rajabzadeh Ghatari and Reza Radfar

    Citation: Journal of Big Data 2019 6:8

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  21. Content type: Research

    This paper studies how the presence of universities and hospitals influences local home prices and rents. We analyze the data on ZIP code level and on the level of individual homes. Our ZIP code-level analysis...

    Authors: Ryan Rivas, Dinesh Patil, Vagelis Hristidis, Joseph R. Barr and Narayanan Srinivasan

    Citation: Journal of Big Data 2019 6:7

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  22. Content type: Research

    Big data analytics is gaining substantial attention due to its innovative contribution to decision making and strategic development across the healthcare field. Therefore, this study explored the adoption mech...

    Authors: Muhammad Shahbaz, Changyuan Gao, LiLi Zhai, Fakhar Shahzad and Yanling Hu

    Citation: Journal of Big Data 2019 6:6

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  23. Content type: Case Study

    The problem studied in this paper is the road insecurity, which is manifested by the big number of injuries and deaths recorded annually around the world. These victims of road accidents worry the whole commun...

    Authors: Fatima Zahra El Mazouri, Mohammed Chaouki Abounaima and Khalid Zenkouar

    Citation: Journal of Big Data 2019 6:5

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  24. Content type: Research

    In addressing the challenge of Big Data Analytics, what has been of notable significance is the analysis of online search traffic data in order to analyze and predict human behavior. Over the last decade, sinc...

    Authors: Amaryllis Mavragani and Konstantinos P. Tsagarakis

    Citation: Journal of Big Data 2019 6:3

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Journal of Big Data Accepted into Scopus!

We are pleased to announce that the Journal of Big Data has been accepted into Scopus, the world's largest abstract and citation database of peer-reviewed literature. Read more about the journal's abstract and indexing on the 'About' page.

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