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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. New dipeptidyl peptidase-4 (DPP-4) inhibitors need to be developed to be used as agents with low adverse effects for the treatment of type 2 diabetes mellitus. This study aims to build quantitative structure-a...

    Authors: Alhadi Bustamam, Haris Hamzah, Nadya A. Husna, Sarah Syarofina, Nalendra Dwimantara, Arry Yanuar and Devvi Sarwinda
    Citation: Journal of Big Data 2021 8:74
  22. Social media is popular in our society right now. People are using social media platforms to purchase various products. We collected the data from various social media platforms. We analyzed the data for predi...

    Authors: Kiran Chaudhary, Mansaf Alam, Mabrook S. Al-Rakhami and Abdu Gumaei
    Citation: Journal of Big Data 2021 8:73
  23. This study explores tweets from Oct 2008 to Oct 2018 related to halal tourism. The tweets were extracted from twitter and underwent various cleaning processes. A total of 33,880 tweets were used for analysis. ...

    Authors: Ali Feizollah, Mohamed M. Mostafa, Ainin Sulaiman, Zalina Zakaria and Ahmad Firdaus
    Citation: Journal of Big Data 2021 8:72
  24. Class rarity is a frequent challenge in cybersecurity. Rarity occurs when the positive (attack) class only has a small number of instances for machine learning classifiers to train upon, thus making it difficu...

    Authors: Richard Zuech, John Hancock and Taghi M. Khoshgoftaar
    Citation: Journal of Big Data 2021 8:71
  25. In this study, we present the detection of the up-downward as well as the right- leftward motion of cursor based on feature extraction. In this algorithm, the K-means clustering method is used to recognize the...

    Authors: Leila Mohammadi, Zahra Einalou, Hamidreza Hosseinzadeh and Mehrdad Dadgostar
    Citation: Journal of Big Data 2021 8:70
  26. The ever-increasing social media users has dramatically contributed to significant growth as far as the volume of online information is concerned. Often, the contents that these users put in social media can g...

    Authors: Hans Christian, Derwin Suhartono, Andry Chowanda and Kamal Z. Zamli
    Citation: Journal of Big Data 2021 8:68
  27. A computer views all kinds of visual media as an array of numerical values. As a consequence of this approach, they require image processing algorithms to inspect contents of images. This project compares 3 ma...

    Authors: Shrey Srivastava, Amit Vishvas Divekar, Chandu Anilkumar, Ishika Naik, Ved Kulkarni and V. Pattabiraman
    Citation: Journal of Big Data 2021 8:66
  28. An intrusion detection system (IDS) is a device or software application that monitors a network for malicious activity or policy violations. It scans a network or a system for a harmful activity or security br...

    Authors: FatimaEzzahra Laghrissi, Samira Douzi, Khadija Douzi and Badr Hssina
    Citation: Journal of Big Data 2021 8:65
  29. The analysis of various data is a challenging issue in the field of air traffic flow management (ATFM). Managing a large volume of data and their correct interpretation plays a key role in the prevention of ai...

    Authors: Mahdi Yousefzadeh Aghdam, Seyed Reza Kamel Tabbakh, Seyed Javad Mahdavi Chabok and Maryam kheyrabadi
    Citation: Journal of Big Data 2021 8:61
  30. Artificial Intelligence (AI) algorithms are increasingly providing decision making and operational support across multiple domains. AI includes a wide (and growing) library of algorithms that could be applied ...

    Authors: Feras A. Batarseh, Laura Freeman and Chih-Hao Huang
    Citation: Journal of Big Data 2021 8:60

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