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  1. 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

    Content type: Survey Paper

    Published on:

  2. 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

    Content type: Research

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  3. 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

    Content type: Research

    Published on:

  4. 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

    Content type: Research

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  5. 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

    Content type: Research

    Published on:

  6. 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

    Content type: Research

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  7. 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

    Content type: Research

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  8. 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

    Content type: Research

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  9. 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

    Content type: Research

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  10. 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

    Content type: Research

    Published on:

  11. 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

    Content type: Research

    Published on:

  12. 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

    Content type: Research

    Published on:

  13. 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

    Content type: Research

    Published on:

  14. 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

    Content type: Research

    Published on:

  15. 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

    Content type: Research

    Published on:

  16. 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

    Content type: Research

    Published on:

  17. 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

    Content type: Research

    Published on:

  18. 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

    Content type: Research

    Published on:

  19. 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

    Content type: Research

    Published on:

  20. 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

    Content type: Research

    Published on:

  21. 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

    Content type: Research

    Published on:

  22. 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

    Content type: Research

    Published on:

  23. 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

    Content type: Research

    Published on:

  24. 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

    Content type: Research

    Published on:

  25. 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

    Content type: Research

    Published on:

  26. 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

    Content type: Survey Paper

    Published on:

  27. Label noise is an important data quality issue that negatively impacts machine learning algorithms. For example, label noise has been shown to increase the number of instances required to train effective predi...

    Authors: Zahra Salekshahrezaee, Joffrey L. Leevy and Taghi M. Khoshgoftaar

    Citation: Journal of Big Data 2021 8:57

    Content type: Research

    Published on:

  28. The value of graph-based big data can be unlocked by exploring the topology and metrics of the networks they represent, and the computational approaches to this exploration take on many forms. For the use-case...

    Authors: Miguel E. Coimbra, Alexandre P. Francisco and Luís Veiga

    Citation: Journal of Big Data 2021 8:55

    Content type: Survey Paper

    Published on:

  29. Nowadays this concept has been widely assessed due to its complexity and sensitivity for the beneficiaries, including passengers, airlines, regulatory agencies, and other organizations. To date, various method...

    Authors: Mahdi Yousefzadeh Aghdam, Seyed Reza Kamel Tabbakh, Seyed Javad Mahdavi Chabok and Maryam Kheyrabadi

    Citation: Journal of Big Data 2021 8:54

    Content type: Research

    Published on:

  30. In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational a...

    Authors: Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Al-Dujaili, Ye Duan, Omran Al-Shamma, J. Santamaría, Mohammed A. Fadhel, Muthana Al-Amidie and Laith Farhan

    Citation: Journal of Big Data 2021 8:53

    Content type: Survey Paper

    Published on:

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