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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. Currently, expressing feelings through social media requires great consideration as an essential part of our lives; besides sharing ideas and thoughts, we share moments and good memories. Social media such as ...

    Authors: Enas A. Hakim Khalil, Enas M. F. El Houby and Hoda Korashy Mohamed
    Citation: Journal of Big Data 2021 8:136
  21. Dissimilarity representation plays a very important role in pattern recognition due to its ability to capture structural and relational information between samples. Dissimilarity space embedding is an approach...

    Authors: Azadeh Rezazadeh Hamedani, Mohammad Hossein Moattar and Yahya Forghani
    Citation: Journal of Big Data 2021 8:135
  22. Data security is being one of the most crucial aspects to be focused on system development. However, using such a feature to enhance the security of data might affect the system's performance. This study aims ...

    Authors: Evaristus Didik Madyatmadja, Aditya Nur Hakim and David Jumpa Malem Sembiring
    Citation: Journal of Big Data 2021 8:134
  23. Network security and data security are the biggest concerns now a days. Every organization decides their future business process based on the past and day to day transactional data. This data may consist of co...

    Authors: Abhijit Dnyaneshwar Jadhav and Vidyullatha Pellakuri
    Citation: Journal of Big Data 2021 8:131
  24. A missing value is one of the factors that often cause incomplete data in almost all studies, even those that are well-designed and controlled. It can also decrease a study’s statistical power or result in ina...

    Authors: Heru Nugroho, Nugraha Priya Utama and Kridanto Surendro
    Citation: Journal of Big Data 2021 8:129
  25. Sensitivity analysis is a popular feature selection approach employed to identify the important features in a dataset. In sensitivity analysis, each input feature is perturbed one-at-a-time and the response of...

    Authors: Dayakar L. Naik and Ravi kiran
    Citation: Journal of Big Data 2021 8:128
  26. Big Data in the area of Remote Sensing has been growing rapidly. Remote sensors are used in surveillance, security, traffic, environmental monitoring, and autonomous sensing. Real-time detection of small movin...

    Authors: Tian J. Ma
    Citation: Journal of Big Data 2021 8:127

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