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  1. Extensive prior work has provided methods for the optimization of routing based on weights assigned to travel duration, and/or travel cost, and/or the distance traveled. Routing can be in various modalities, s...

    Authors: Naphtali Rishe, M. Hadi Amini and Malek Adjouadi
    Citation: Journal of Big Data 2023 10:57
  2. The panorama of data is ever evolving, and big data has emerged to become one of the most hyped terms in the industry. Today, users are the perpetual producers of data that if gleaned and crunched, have the po...

    Authors: Pouya Ataei and Daniel Staegemann
    Citation: Journal of Big Data 2023 10:56
  3. Multiple organ dysfunction syndrome (MODS) is one of the leading causes of death in critically ill patients. MODS is the result of a dysregulated inflammatory response that can be triggered by various causes. ...

    Authors: Chang Liu, Zhenjie Yao, Pengfei Liu, Yanhui Tu, Hu Chen, Haibo Cheng, Lixin Xie and Kun Xiao
    Citation: Journal of Big Data 2023 10:55
  4. This paper presents a transfer learning approach to the crop classification problem based on time series of images from the Sentinel-2 dataset labeled for two regions: Brittany (France) and Vojvodina (Serbia)....

    Authors: Ognjen Antonijević, Slobodan Jelić, Branislav Bajat and Milan Kilibarda
    Citation: Journal of Big Data 2023 10:54
  5. Distributed computing continuum systems (DCCS) make use of a vast number of computing devices to process data generated by edge devices such as the Internet of Things and sensor nodes. Besides performing compu...

    Authors: Praveen Kumar Donta, Boris Sedlak, Victor Casamayor Pujol and Schahram Dustdar
    Citation: Journal of Big Data 2023 10:53
  6. Precision agriculture in the realm of the Internet of Things is characterized by the collection of data from multiple sensors deployed on the farm. These data present a spatial, temporal, and semantic characte...

    Authors: Mario San Emeterio de la Parte, José-Fernán Martínez-Ortega, Vicente Hernández Díaz and Néstor Lucas Martínez
    Citation: Journal of Big Data 2023 10:52
  7. In the pre-big data era, many traditional databases supported spatial queries via spatial indexes. However, modern applications are seeing a rapid increase of the volume and ingestion rate of spatial data. Log...

    Authors: Qizhong Mao, Mohiuddin Abdul Qader and Vagelis Hristidis
    Citation: Journal of Big Data 2023 10:51
  8. Given a dataset V of points from some metric space, a popular robust formulation of the k-center clustering problem requires to select k points (centers) of V which minimize the maximum distance of any point of V

    Authors: Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci and Federico Soldà
    Citation: Journal of Big Data 2023 10:49
  9. Traditional Food Knowledge (TFK) is needed to define the acculturation of culture, society, and health in the context of food. TFK is essential for a human’s cultural, economic, and health aspects. Variations ...

    Authors: Petrus Mursanto, Ari Wibisono, Puteri Khatya Fahira, Zulia Putri Rahmadhani and Hanif Arief Wisesa
    Citation: Journal of Big Data 2023 10:47
  10. Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data ...

    Authors: Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, Jose Santamaría, A. S. Albahri, Bashar Sami Nayyef Al-dabbagh, Mohammed A. Fadhel, Mohamed Manoufali, Jinglan Zhang, Ali H. Al-Timemy, Ye Duan, Amjed Abdullah, Laith Farhan, Yi Lu, Ashish Gupta, Felix Albu…
    Citation: Journal of Big Data 2023 10:46
  11. This article examines the engagement of domestic actors in public conversation surrounding free trade negotiations with a focus on the framing of these negotiations as economic, strategic or domestic issues. T...

    Authors: Moch Faisal Karim, Reza Rahutomo, Ida Bagus Kerthyayana Manuaba, Kartika Purwandari, Tirta Nugraha Mursitama and Bens Pardamean
    Citation: Journal of Big Data 2023 10:44
  12. Using the wrong metrics to gauge classification of highly imbalanced Big Data may hide important information in experimental results. However, we find that analysis of metrics for performance evaluation and wh...

    Authors: John T. Hancock, Taghi M. Khoshgoftaar and Justin M. Johnson
    Citation: Journal of Big Data 2023 10:42
  13. Clustering a big dataset without knowing the number of clusters presents a big challenge to many existing clustering algorithms. In this paper, we propose a Random Sample Partition-based Centers Ensemble (RSPC...

    Authors: Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby and Kaishun Wu
    Citation: Journal of Big Data 2023 10:40
  14. Oral cancer may arise from oral leukoplakia and oral lichenoid mucositis (oral lichen planus and oral lichenoid lesions) subtypes of oral potentially malignant disorders. As not all patients will develop oral ...

    Authors: John Adeoye, Mohamad Koohi-Moghadam, Siu-Wai Choi, Li-Wu Zheng, Anthony Wing Ip Lo, Raymond King-Yin Tsang, Velda Ling Yu Chow, Abdulwarith Akinshipo, Peter Thomson and Yu-Xiong Su
    Citation: Journal of Big Data 2023 10:39
  15. The random forest algorithm could be enhanced and produce better results with a well-designed and organized feature selection phase. The dependency structure between the variables is considered to be the most ...

    Authors: Zeynep Ilhan Taskin, Kasirga Yildirak and Cagdas Hakan Aladag
    Citation: Journal of Big Data 2023 10:38
  16. The automatic classification of marine species based on images is a challenging task for which multiple solutions have been increasingly provided in the past two decades. Oceans are complex ecosystems, difficu...

    Authors: Vanesa Lopez-Vazquez, Jose Manuel Lopez-Guede, Damianos Chatzievangelou and Jacopo Aguzzi
    Citation: Journal of Big Data 2023 10:37
  17. This study aims to improve the accuracy of forecasting the turnover intention of new college graduates by solving the imbalance data problem. For this purpose, data from the Korea Employment Information Servic...

    Authors: Jungryeol Park, Sundong Kwon and Seon-Phil Jeong
    Citation: Journal of Big Data 2023 10:36
  18. This paper describes a new approach to knowledge creation that is instrumental for the emerging paradigm of data-intensive science. The proposed approach enables the acquisition of new insights from the data b...

    Authors: Costantino Thanos, Carlo Meghini, Valentina Bartalesi and Gianpaolo Coro
    Citation: Journal of Big Data 2023 10:29
  19. Machine learning models have been increasingly considered to model head and neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of the disease. As the concept of data-centric...

    Authors: John Adeoye, Liuling Hui and Yu-Xiong Su
    Citation: Journal of Big Data 2023 10:28
  20. Healthcare data in images, texts and other unstructured formats have continued to grow exponentially while generating storage concerns. Even though there are other complexities, volume complexity is a major ch...

    Authors: R. F. Famutimi, M. O. Oyelami, A. O. Ibitoye and O. M. Awoniran
    Citation: Journal of Big Data 2023 10:25
  21. This paper presents a stochastic imputation approach for large datasets using a correlation selection methodology when preferred commercial packages struggle to iterate due to numerical problems. A variable ra...

    Authors: Benjamin D. Leiby and Darryl K. Ahner
    Citation: Journal of Big Data 2023 10:23
  22. With the massive resources and strategies accessible to attackers, countering Denial of Service (DoS) attacks is getting increasingly difficult. One of these techniques is application-layer DoS. Due to these chal...

    Authors: Cliff Kemp, Chad Calvert, Taghi M. Khoshgoftaar and Joffrey L. Leevy
    Citation: Journal of Big Data 2023 10:22
  23. The research and innovations in the field of wearable auxiliary devices for visually impaired and blind people are playing a vital role towards improving their quality of life. However, in spite of the promisi...

    Authors: Myneni Madhu Bala, D. N. Vasundhara, Akkineni Haritha and CH. V. K. N. S. N. Moorthy
    Citation: Journal of Big Data 2023 10:21
  24. Recent studies have shown that immunotherapies, including peptide vaccines, remain promising strategies for patients with lower grade glioma (LGG); however new biomarkers need to be developed to identify patie...

    Authors: Changwu Wu, Wenyong Long, Chaoying Qin, Xiangyu Wang, Yuzhe Li, Kai Xiao, Yue Li and Qing Liu
    Citation: Journal of Big Data 2023 10:19
  25. Automatic caption generation with attention mechanisms aims at generating more descriptive captions containing coarser to finer semantic contents in the image. In this work, we use an encoder-decoder framework...

    Authors: Reshmi Sasibhooshan, Suresh Kumaraswamy and Santhoshkumar Sasidharan
    Citation: Journal of Big Data 2023 10:18
  26. Depending on the RMSE and sites sharing travel details, enormous reviews have been posted day by day. In order to recognize potential target customers in a quick and effective manner, hotels are necessary to e...

    Authors: Chinta Venkata Murali Krishna, G. Appa Rao and S. Anuradha
    Citation: Journal of Big Data 2023 10:16
  27. The effectiveness of machine learning models can be significantly averse to redundant and irrelevant features present in the large dataset which can cause drastic performance degradation. This paper proposes I...

    Authors: Yuhua Yin, Julian Jang-Jaccard, Wen Xu, Amardeep Singh, Jinting Zhu, Fariza Sabrina and Jin Kwak
    Citation: Journal of Big Data 2023 10:15
  28. The recent evolution of machine learning (ML) algorithms and the high level of expertise required to use them have fuelled the demand for non-experts solutions. The selection of an appropriate algorithm and th...

    Authors: Moncef Garouani, Adeel Ahmad, Mourad Bouneffa and Mohamed Hamlich
    Citation: Journal of Big Data 2023 10:14
  29. In an attempt to mitigate emissions and road traffic, a significant interest has been recently noted in expanding the use of shared vehicles to replace private modes of transport. However, one outstanding issu...

    Authors: Nilusha Jayawickrama, Enric Perarnau Ollé, Jesse Pirhonen, Risto Ojala, Klaus Kivekäs, Jari Vepsäläinen and Kari Tammi
    Citation: Journal of Big Data 2023 10:13
  30. One of the most common causes of incompleteness is missing data, which occurs when no data value for the variables in observation is stored. An adaptive approach model outperforming other numerical methods in ...

    Authors: Heru Nugroho, Nugraha Priya Utama and Kridanto Surendro
    Citation: Journal of Big Data 2023 10:10
  31. When you make a forex transaction, you sell one currency and buy another. If the currency you buy increases against the currency you sell, you profit, and you do this through a broker as a retail trader on the...

    Authors: Michael Ayitey Junior, Peter Appiahene, Obed Appiah and Christopher Ninfaakang Bombie
    Citation: Journal of Big Data 2023 10:9
  32. In Machine Learning, prediction quality is usually measured using different techniques and evaluation methods. In the regression models, the goal is to minimize the distance between the actual and predicted va...

    Authors: Nassim Sohaee
    Citation: Journal of Big Data 2023 10:8

Annual Journal Metrics

  • 2022 Citation Impact
    8.1 - 2-year Impact Factor
    5.095 - SNIP (Source Normalized Impact per Paper)
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