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  1. Graphs are found in a plethora of domains, including online social networks, the World Wide Web and the study of epidemics, to name a few. With the advent of greater volumes of information and the need for con...

    Authors: Miguel E. Coimbra, Sérgio Esteves, Alexandre P. Francisco and Luís Veiga
    Citation: Journal of Big Data 2022 9:23
  2. Social media has great importance in the community for discussing many events and sharing them with others. The primary goal of this research is to study the quality of the sentiment analysis (SA) of impressi...

    Authors: Bador Al sari, Rawan Alkhaldi, Dalia Alsaffar, Tahani Alkhaldi, Hanan Almaymuni, Norah Alnaim, Najwa Alghamdi and Sunday O. Olatunji
    Citation: Journal of Big Data 2022 9:21
  3. Social networks are a vast source of information, and they have been increasing impact on people’s daily lives. They permit us to share emotions, passions, and interactions with other people around the world. ...

    Authors: Francesca Cerruto, Stefano Cirillo, Domenico Desiato, Simone Michele Gambardella and Giuseppe Polese
    Citation: Journal of Big Data 2022 9:19
  4. Twitter is a frequent target for machine learning research and applications. Many problems, such as sentiment analysis, image tagging, and location prediction have been studied on Twitter data. Much of the pri...

    Authors: Ryan Rivas, Sudipta Paul, Vagelis Hristidis, Evangelos E. Papalexakis and Amit K. Roy-Chowdhury
    Citation: Journal of Big Data 2022 9:18
  5. With increasing data and model complexities, the time required to train neural networks has become prohibitively large. To address the exponential rise in training time, users are turning to data parallel neur...

    Authors: Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel and Achim Streit
    Citation: Journal of Big Data 2022 9:14
  6. This paper explores machine learning algorithms and approaches for predicting alum income to obtain insights on the strongest predictors and a ‘high’ earners’ class.

    Authors: Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Neil Hernandez-Gress, Jose Luis Preciado and Hector G. Ceballos
    Citation: Journal of Big Data 2022 9:11
  7. The recent years have seen a proliferation of Internet of Things (IoT) devices and an associated security risk from an increasing volume of malicious traffic worldwide. For this reason, datasets such as Bot-Io...

    Authors: Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar and Jared M. Peterson
    Citation: Journal of Big Data 2022 9:6
  8. The purpose of this study is to develop and test machine learning-based models for COVID-19 severity prediction. COVID-19 test samples from 337 COVID-19 positive patients at Cheikh Zaid Hospital were grouped a...

    Authors: Mariam Laatifi, Samira Douzi, Abdelaziz Bouklouz, Hind Ezzine, Jaafar Jaafari, Younes Zaid, Bouabid El Ouahidi and Mariam Naciri
    Citation: Journal of Big Data 2022 9:5
  9. In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security...

    Authors: Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia and Paolo Trunfio
    Citation: Journal of Big Data 2022 9:4
  10. The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Dat...

    Authors: Kornelia Batko and Andrzej Ślęzak
    Citation: Journal of Big Data 2022 9:3
  11. Over the past few decades, due to human activities, industrialization, and urbanization, air pollution has become a life-threatening factor in many countries around the world. Among air pollutants, Particulate...

    Authors: Abdellatif Bekkar, Badr Hssina, Samira Douzi and Khadija Douzi
    Citation: Journal of Big Data 2021 8:161
  12. With data becoming a salient asset worldwide, dependence amongst data kept on growing. Hence the real-world datasets that one works upon in today’s time are highly correlated. Since the past few years, researc...

    Authors: Sreemoyee Biswas, Nilay Khare, Pragati Agrawal and Priyank Jain
    Citation: Journal of Big Data 2021 8:157
  13. Markov models are extensively used for categorical sequence clustering and classification due to their inherent ability to capture complex chronological dependencies hidden in sequential data. Existing Markov ...

    Authors: Rongbo Chen, Haojun Sun, Lifei Chen, Jianfei Zhang and Shengrui Wang
    Citation: Journal of Big Data 2021 8:154
  14. Predicting the amount of daily rainfall improves agricultural productivity and secures food and water supply to keep citizens healthy. To predict rainfall, several types of research have been conducted using d...

    Authors: Chalachew Muluken Liyew and Haileyesus Amsaya Melese
    Citation: Journal of Big Data 2021 8:153
  15. The development of the Internet of Things (IoT) has produced new innovative solutions, such as smart cities, which enable humans to have a more efficient, convenient and smarter way of life. The Intelligent Tr...

    Authors: Noor Afiza Mat Razali, Nuraini Shamsaimon, Khairul Khalil Ishak, Suzaimah Ramli, Mohd Fahmi Mohamad Amran and Sazali Sukardi
    Citation: Journal of Big Data 2021 8:152
  16. Opinion mining, or sentiment analysis, is a field in Natural Language Processing (NLP). It extracts people’s thoughts, including assessments, attitudes, and emotions toward individuals, topics, and events. The...

    Authors: Noor Afiza Mat Razali, Nur Atiqah Malizan, Nor Asiakin Hasbullah, Muslihah Wook, Norulzahrah Mohd Zainuddin, Khairul Khalil Ishak, Suzaimah Ramli and Sazali Sukardi
    Citation: Journal of Big Data 2021 8:150
  17. Network attacks are illegal activities on digital resources within an organizational network with the express intention of compromising systems. A cyber attack can be directed by individuals, communities, stat...

    Authors: FatimaEzzahra Laghrissi, Samira Douzi, Khadija Douzi and Badr Hssina
    Citation: Journal of Big Data 2021 8:149
  18. In the next decade, machine vision technology will have an enormous impact on industrial works because of the latest technological advances in this field. These advances are so significant that the use of this...

    Authors: Majid Amirfakhrian and Mahboub Parhizkar
    Citation: Journal of Big Data 2021 8:147
  19. Distinguishing sequences are widely used in finite state machine-based conformance testing to solve the state identification problem. In this paper, we address the scalability issue encountered while deriving ...

    Authors: Bilal Elghadyry, Faissal Ouardi, Zineb Lotfi and Sébastien Verel
    Citation: Journal of Big Data 2021 8:145
  20. Machine learning has been the corner stone in analysing and extracting information from data and often a problem of missing values is encountered. Missing values occur because of various factors like missing c...

    Authors: Tlamelo Emmanuel, Thabiso Maupong, Dimane Mpoeleng, Thabo Semong, Banyatsang Mphago and Oteng Tabona
    Citation: Journal of Big Data 2021 8:140
  21. Twitter and social media as a whole have great potential as a source of disease surveillance data however the general messiness of tweets presents several challenges for standard information extraction methods...

    Authors: Mark Abraham Magumba and Peter Nabende
    Citation: Journal of Big Data 2021 8:139
  22. Near-duplicate video content has taken the large storage space in the age of big data. Without respecting the copyright ethic, social media users mirror, resize, and/or hide certain online video content and re...

    Authors: Abderrahmane Adoui El Ouadrhiri, Said Jai-Andaloussi and Ouail Ouchetto
    Citation: Journal of Big Data 2021 8:138
  23. In the past decade we have witnessed the failure of traditional polls in predicting presidential election outcomes across the world. To understand the reasons behind these failures we analyze the raw data of a...

    Authors: Zhenkun Zhou, Matteo Serafino, Luciano Cohan, Guido Caldarelli and Hernán A. Makse
    Citation: Journal of Big Data 2021 8:137

Annual Journal Metrics

  • 2022 Citation Impact
    8.1 - 2-year Impact Factor
    5.095 - SNIP (Source Normalized Impact per Paper)
    2.714 - SJR (SCImago Journal Rank)

    2022 Speed
    54 days submission to first editorial decision for all manuscripts (Median)
    181 days submission to accept (Median)

    2022 Usage
    1,798 Altmetric mentions