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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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

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