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Journal of Big Data
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Articles

Page 1 of 4

  1. Content type: Research

    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

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  3. Content type: Methodology

    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

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  7. Content type: Survey paper

    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

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  8. Content type: Research

    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

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  10. Content type: Methodology

    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

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  12. Content type: Methodology

    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

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  15. Content type: Research

    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

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  18. Content type: Methodology

    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

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  19. Content type: Survey paper

    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

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  20. Content type: Research

    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

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  25. Content type: Methodology

    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

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  26. Content type: Survey Paper

    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

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  27. Content type: Research

    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

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  28. Content type: Research

    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

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  29. Content type: Case Study

    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

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  30. Content type: Research

    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

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  31. Content type: Research

    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

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  32. Content type: Research

    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

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  34. Content type: Survey paper

    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

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  35. Content type: Methodology

    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

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  37. Content type: Research

    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

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  38. Content type: Research

    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

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  41. Content type: Research

    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

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  42. Content type: Methodology

    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

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  45. Content type: Survey paper

    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

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  46. Content type: Methodology

    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

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  48. Content type: Research

    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

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Journal of Big Data Accepted into Scopus!

We are pleased to announce that the Journal of Big Data has been accepted into Scopus, the world's largest abstract and citation database of peer-reviewed literature. Read more about the journal's abstract and indexing on the 'About' page.

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  • ISSN: 2196-1115 (electronic)

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