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  1. In a computing context, cybersecurity is undergoing massive shifts in technology and its operations in recent days, and data science is driving the change. Extracting security incident patterns or insights from c...

    Authors: Iqbal H. Sarker, A. S. M. Kayes, Shahriar Badsha, Hamed Alqahtani, Paul Watters and Alex Ng

    Citation: Journal of Big Data 2020 7:41

    Content type: Survey Paper

    Published on:

  2. Data-driven healthcare policy discussions are gaining traction after the Covid-19 outbreak and ahead of the 2020 US presidential elections. The US has a hybrid healthcare structure; it is a system that does no...

    Authors: Feras A. Batarseh, Iya Ghassib, Deri (Sondor) Chong and Po-Hsuan Su

    Citation: Journal of Big Data 2020 7:38

    Content type: Research

    Published on:

  3. In data analytics, missing data is a factor that degrades performance. Incorrect imputation of missing values could lead to a wrong prediction. In this era of big data, when a massive volume of data is generat...

    Authors: Shahidul Islam Khan and Abu Sayed Md Latiful Hoque

    Citation: Journal of Big Data 2020 7:37

    Content type: Research

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  4. Glioblastoma (GBM) is a stage 4 malignant tumor in which a large portion of tumor cells are reproducing and dividing at any moment. These tumors are life threatening and may result in partial or complete menta...

    Authors: Annapareddy V. N. Reddy, Ch. Phani Krishna, Pradeep Kumar Mallick, Sandeep Kumar Satapathy, Prayag Tiwari, Mikhail Zymbler and Sachin Kumar

    Citation: Journal of Big Data 2020 7:35

    Content type: Research

    Published on:

  5. Recommender systems have been an efficient strategy to deal with information overload by producing personalized predictions. Recommendation systems based on deep learning have accomplished magnificent results,...

    Authors: Nour Nassar, Assef Jafar and Yasser Rahhal

    Citation: Journal of Big Data 2020 7:34

    Content type: Research

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    The Correction to this article has been published in Journal of Big Data 2020 7:45

  6. In this paper, a novel method for binary image comparison is presented. We suppose that the image is a set of transactions and items. The proposed method applies along rows and columns of an image; this image ...

    Authors: Khalid Aznag, Toufik Datsi, Ahmed El oirrak and Essaid El bachari

    Citation: Journal of Big Data 2020 7:32

    Content type: Research

    Published on:

  7. In Distributed Database Systems (DDBS), communication costs and response time have long been open-ended challenges. Nevertheless, when DDBS is carefully designed, the desired reduction in communication costs w...

    Authors: Ali A. Amer

    Citation: Journal of Big Data 2020 7:31

    Content type: Research

    Published on:

  8. Given the growing importance of customer behavior in the business market nowadays, telecom operators focus not only on customer profitability to increase market share but also on highly loyal customers as well...

    Authors: Wissam Nazeer Wassouf, Ramez Alkhatib, Kamal Salloum and Shadi Balloul

    Citation: Journal of Big Data 2020 7:29

    Content type: Research

    Published on:

  9. This survey investigates current techniques for representing qualitative data for use as input to neural networks. Techniques for using qualitative data in neural networks are well known. However, researchers ...

    Authors: John T. Hancock and Taghi M. Khoshgoftaar

    Citation: Journal of Big Data 2020 7:28

    Content type: Survey Paper

    Published on:

  10. This paper proposes a novel algorithm for optimizing decision variables with respect to an outcome variable of interest in complex problems, such as those arising from big data. The proposed algorithm builds o...

    Authors: Mahsa Madani Hosseini, Manaf Zargoush, Farrokh Alemi and Raya Elfadel Kheirbek

    Citation: Journal of Big Data 2020 7:26

    Content type: Research

    Published on:

  11. Multi activity-multi object recognition (MAMO) is a challenging task in visual systems for monitoring, recognizing and alerting in various public places, such as universities, hospitals and airports. While bot...

    Authors: Budi Padmaja, Madhu Bala Myneni and Epili Krishna Rao Patro

    Citation: Journal of Big Data 2020 7:24

    Content type: Research

    Published on:

  12. In Machine Learning, if one class has a significantly larger number of instances (majority) than the other (minority), this condition is defined as class imbalance. With regard to datasets, class imbalance can bi...

    Authors: Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy and Richard A. Bauder

    Citation: Journal of Big Data 2020 7:23

    Content type: Research

    Published on:

  13. Big data is one of the most recent business and technical issues in the age of technology. Hundreds of millions of events occur every day. The financial field is deeply involved in the calculation of big data ...

    Authors: Md. Morshadul Hasan, József Popp and Judit Oláh

    Citation: Journal of Big Data 2020 7:21

    Content type: Research

    Published on:

  14. Sensor data quality plays a vital role in Internet of Things (IoT) applications as they are rendered useless if the data quality is bad. This systematic review aims to provide an introduction and guide for res...

    Authors: Hui Yie Teh, Andreas W. Kempa-Liehr and Kevin I-Kai Wang

    Citation: Journal of Big Data 2020 7:11

    Content type: Survey Paper

    Published on:

  15. Online social networks have established virtual platforms enabling people to express their opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate users as well as spammers a...

    Authors: Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie and Abdulaziz Albahlal

    Citation: Journal of Big Data 2020 7:10

    Content type: Research

    Published on:

  16. Increased sensing data in the context of the Internet of Things (IoT) necessitates data analytics. It is challenging to write applications for Big Data systems due to complex, highly parallel software framewor...

    Authors: Tanmaya Mahapatra and Christian Prehofer

    Citation: Journal of Big Data 2020 7:4

    Content type: Research

    Published on:

  17. Explosive performance and memory space growth in computing machines, along with recent specialization of deep learning models have radically boosted the role of images in semantic pattern recognition. In the s...

    Authors: Mahdi Hashemi and Margeret Hall

    Citation: Journal of Big Data 2020 7:2

    Content type: Research

    Published on:

    The Retraction Note to this article has been published in Journal of Big Data 2020 7:40

  18. The analysis and processing of big data are one of the most important challenges that researchers are working on to find the best approaches to handle it with high performance, low cost and high accuracy. In t...

    Authors: Saad Ahmed Dheyab, Mohammed Najm Abdullah and Buthainah Fahran Abed

    Citation: Journal of Big Data 2019 6:112

    Content type: Methodology

    Published on:

  19. In building management, energy optimization is one of the main concern that needs to be automated. For automation, an intelligent system needs to be developed. However, an intelligent system needs to be traine...

    Authors: Bens Pardamean, Hery Harjono Muljo, Tjeng Wawan Cenggoro, Bloomest Jansen Chandra and Reza Rahutomo

    Citation: Journal of Big Data 2019 6:110

    Content type: Research

    Published on:

  20. With the rapid development of smart grids and increasing data collected in these networks, analyzing this massive data for applications such as marketing, cyber-security, and performance analysis, has gained p...

    Authors: Mohammad Hasan Ansari, Vahid Tabatab Vakili and Behnam Bahrak

    Citation: Journal of Big Data 2019 6:109

    Content type: Research

    Published on:

  21. This paper presents a lifelong learning framework which constantly adapts with changing data patterns over time through incremental learning approach. In many big data systems, iterative re-training high dimen...

    Authors: Gautam Pal, Xianbin Hong, Zhuo Wang, Hongyi Wu, Gangmin Li and Katie Atkinson

    Citation: Journal of Big Data 2019 6:108

    Content type: Case Study

    Published on:

  22. Due to the advent of new technologies, devices, and communication tools such as social networking sites, the amount of data produced by mankind is growing rapidly every year. Big data is a collection of large ...

    Authors: Abolfazl Gandomi, Midia Reshadi, Ali Movaghar and Ahmad Khademzadeh

    Citation: Journal of Big Data 2019 6:106

    Content type: Research

    Published on:

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