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  1. The global popularity of social media platforms has given rise to unprecedented amounts of data, much of which reflects the thoughts, opinions and affective states of individual users. Systematic explorations ...

    Authors: Aamna Al Shehhi, Justin Thomas, Roy Welsch, Ian Grey and Zeyar Aung
    Citation: Journal of Big Data 2019 6:33
  2. We address the problem of detecting highly raised crowd density in situations such as indoor dance events. We propose a new method for estimating crowd density by anonymous, non-participatory, indoor Wi-Fi loc...

    Authors: Sonja Georgievska, Philip Rutten, Jan Amoraal, Elena Ranguelova, Rena Bakhshi, Ben L. de Vries, Michael Lees and Sander Klous
    Citation: Journal of Big Data 2019 6:31
  3. The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective classification with imbalanced data is an important area of research, as high class imb...

    Authors: Justin M. Johnson and Taghi M. Khoshgoftaar
    Citation: Journal of Big Data 2019 6:27
  4. Prevention of hospital readmissions has the potential of providing better quality of care to the patients and deliver significant cost savings. A review of existing readmission analysis frameworks based on dat...

    Authors: Piyush Jain, Ankur Agarwal, Ravi Behara and Christopher Baechle
    Citation: Journal of Big Data 2019 6:26
  5. Critical systems that produce big data streams can require human operators to monitor these event streams for changes of interest. Automated systems which oversee many tasks can still have a need for the ‘huma...

    Authors: Alexander V. Mantzaris, Thomas G. Walker, Cameron E. Taylor and Dustin Ehling
    Citation: Journal of Big Data 2019 6:24
  6. This study represents an efficient method for extracting product aspects from customer reviews and give solutions for inferring aspect ratings and aspect weights. Aspect ratings often reflect the user’s satisf...

    Authors: Tu Nguyen Thi Ngoc, Ha Nguyen Thi Thu and Viet Anh Nguyen
    Citation: Journal of Big Data 2019 6:22
  7. The Internet of Things (IoT) facilitates creation of smart spaces by converting existing environments into sensor-rich data-centric cyber-physical systems with an increasing degree of automation, giving rise t...

    Authors: Rustem Dautov, Salvatore Distefano and Rajkumaar Buyya
    Citation: Journal of Big Data 2019 6:19
  8. Deep Learning is an increasingly important subdomain of artificial intelligence, which benefits from training on Big Data. The size and complexity of the model combined with the size of the training dataset ma...

    Authors: Robert K. L. Kennedy, Taghi M. Khoshgoftaar, Flavio Villanustre and Timothy Humphrey
    Citation: Journal of Big Data 2019 6:16
  9. Currently, the data to be explored and exploited by computing systems increases at an exponential rate. The massive amount of data or so-called “Big Data” put pressure on existing technologies for providing sc...

    Authors: Somnath Mazumdar, Daniel Seybold, Kyriakos Kritikos and Yiannis Verginadis
    Citation: Journal of Big Data 2019 6:15
  10. Global environmental pollution caused by human activities has become a threat to public health. Children are especially susceptible to adverse environmental conditions owing to their unique physiological and b...

    Authors: Guang-jun Yu, Jian-lei Gu, Wen-bin Cui, Jian-ping Jiang, Yang Wang, Georgi Z. Genchev, Ting Lu and Hui Lu
    Citation: Journal of Big Data 2019 6:14
  11. In many real-world contexts, there is a pressing need to automatically screen for potential perpetrators, such as school shooters, whose prevalence in the population is extremely low. We first explain one poss...

    Authors: Yair Neuman, Yochai Cohen and Yiftach Neuman
    Citation: Journal of Big Data 2019 6:9
  12. Annually, lots of research papers are published in scientific journals around the world. The knowledge of the status of research is a prerequisite for research planning and policy making. This type of knowledg...

    Authors: Fatemeh Soleimani-Roozbahani, Ali Rajabzadeh Ghatari and Reza Radfar
    Citation: Journal of Big Data 2019 6:8
  13. This paper studies how the presence of universities and hospitals influences local home prices and rents. We analyze the data on ZIP code level and on the level of individual homes. Our ZIP code-level analysis...

    Authors: Ryan Rivas, Dinesh Patil, Vagelis Hristidis, Joseph R. Barr and Narayanan Srinivasan
    Citation: Journal of Big Data 2019 6:7
  14. Big data analytics is gaining substantial attention due to its innovative contribution to decision making and strategic development across the healthcare field. Therefore, this study explored the adoption mech...

    Authors: Muhammad Shahbaz, Changyuan Gao, LiLi Zhai, Fakhar Shahzad and Yanling Hu
    Citation: Journal of Big Data 2019 6:6
  15. The problem studied in this paper is the road insecurity, which is manifested by the big number of injuries and deaths recorded annually around the world. These victims of road accidents worry the whole commun...

    Authors: Fatima Zahra El Mazouri, Mohammed Chaouki Abounaima and Khalid Zenkouar
    Citation: Journal of Big Data 2019 6:5
  16. In recent years, mobility data from smart cards, mobile phones and sensors have become increasingly available. However, they often lack some of the key information including the purposes of trips for each indi...

    Authors: Takashi Nicholas Maeda, Narushige Shiode, Chen Zhong, Junichiro Mori and Tetsuo Sakimoto
    Citation: Journal of Big Data 2019 6:4
  17. In addressing the challenge of Big Data Analytics, what has been of notable significance is the analysis of online search traffic data in order to analyze and predict human behavior. Over the last decade, sinc...

    Authors: Amaryllis Mavragani and Konstantinos P. Tsagarakis
    Citation: Journal of Big Data 2019 6:3
  18. The present work is a part of the ESTenLigne project which is the result of several years of experience for developing e-learning in Sidi Mohamed Ben Abdellah University through the implementation of open, onl...

    Authors: Karim Dahdouh, Ahmed Dakkak, Lahcen Oughdir and Abdelali Ibriz
    Citation: Journal of Big Data 2019 6:2
  19. Using the theory of affordance from perceptual psychology and through discussion of literature within visual data mining and immersive analytics, a position for the multi-sensory representation of big data usi...

    Authors: Jules Moloney, Branka Spehar, Anastasia Globa and Rui Wang
    Citation: Journal of Big Data 2018 5:53
  20. Measuring pairwise document similarity is an essential operation in various text mining tasks. Most of the similarity measures judge the similarity between two documents based on the term weights and the infor...

    Authors: Marzieh Oghbaie and Morteza Mohammadi Zanjireh
    Citation: Journal of Big Data 2018 5:52
  21. Query processing based on labeling dynamic XML documents has gained more attention in the past several years. An efficient labeling scheme should provide small size labels keeping the simplicity of the exploit...

    Authors: Eynollah Khanjari and Leila Gaeini
    Citation: Journal of Big Data 2018 5:50
  22. Regression trees (RTs) are simple, but powerful models, which have been widely used in the last decades in different scopes. Fuzzy RTs (FRTs) add fuzziness to RTs with the aim of dealing with uncertain environ...

    Authors: Javier Cózar, Francesco Marcelloni, José A. Gámez and Luis de la Ossa
    Citation: Journal of Big Data 2018 5:49
  23. New generation databases also called NoSQL (Not only SQL) databases are highly scalable, flexible, and low-latent. These types of databases emerge as a result of the rigidity shown by traditional databases to ...

    Authors: Abdullahi Abubakar Imam, Shuib Basri, Rohiza Ahmad, Junzu Watada and María T. González-Aparicio
    Citation: Journal of Big Data 2018 5:46
  24. In manufacturing, the technology to capture and store large volumes of data developed earlier and faster than corresponding capabilities to analyze, interpret, and apply it. The result for many manufacturers i...

    Authors: Phillip M. LaCasse, Wilkistar Otieno and Francisco P. Maturana
    Citation: Journal of Big Data 2018 5:45
  25. In a majority–minority classification problem, class imbalance in the dataset(s) can dramatically skew the performance of classifiers, introducing a prediction bias for the majority class. Assuming the positiv...

    Authors: Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder and Naeem Seliya
    Citation: Journal of Big Data 2018 5:42
  26. In the era of Big Data, with the increasing use of large-scale data-driven applications, visualization of very large high-resolution images and extracting useful information (searching for specific targets or ...

    Authors: Muhammad Saleem, Hugo E. Valle, Stephen Brown, Veronica I. Winters and Akhtar Mahmood
    Citation: Journal of Big Data 2018 5:41
  27. This paper presents a framework for discovering similar users on Twitter that can be used in profiling users for social, recruitment and security reasons. The framework contains a novel formula that calculates...

    Authors: Hind AlMahmoud and Shurug AlKhalifa
    Citation: Journal of Big Data 2018 5:39

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 8.6
    5-year Journal Impact Factor: 12.4
    Source Normalized Impact per Paper (SNIP): 3.853
    SCImago Journal Rank (SJR): 2.068

    Speed 2023
    Submission to first editorial decision (median days): 56
    Submission to acceptance (median days): 205

    Usage 2023
    Downloads: 2,559,548
    Altmetric mentions: 280