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  1. During the last decade, the use of online search traffic data is becoming popular in examining, analyzing, and predicting human behavior, with Google Trends being a popular tool in monitoring and analyzing the...

    Authors: Amaryllis Mavragani, Konstantinos Gkillas and Konstantinos P. Tsagarakis

    Citation: Journal of Big Data 2020 7:79

    Content type: Research

    Published on:

  2. Big graphs are part of the movement of “Not Only SQL” databases (also called NoSQL) focusing on the relationships between data, rather than the values themselves. The data is stored in vertices while the edges...

    Authors: Wilfried Yves Hamilton Adoni, Tarik Nahhal, Moez Krichen, Abdeltif El byed and Ismail Assayad

    Citation: Journal of Big Data 2020 7:76

    Content type: Methodology

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  3. This research proposes a system based on a combination of various components for parallel modelling and forecasting the processes in networks with data assimilation from the real network. The main novelty of t...

    Authors: Oksana Severiukhina, Sergey Kesarev, Klavdiya Bochenina, Alexander Boukhanovsky, Michael H. Lees and Peter M. A. Sloot

    Citation: Journal of Big Data 2020 7:72

    Content type: Research

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  4. Urban transport investments have contributed to the exponential increase of value from land and properties around the built infrastructure. Although literature had shown evidence of value uplift from the resid...

    Authors: Mohammed Ali Berawi, Perdana Miraj, Gunawan Saroji and Mustika Sari

    Citation: Journal of Big Data 2020 7:71

    Content type: Research

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  5. Since canonical machine learning algorithms assume that the dataset has equal number of samples in each class, binary classification became a very challenging task to discriminate the minority class samples ef...

    Authors: Jafar Tanha, Yousef Abdi, Negin Samadi, Nazila Razzaghi and Mohammad Asadpour

    Citation: Journal of Big Data 2020 7:70

    Content type: Survey Paper

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  6. Traditional food knowledge (TFK) is an essential aspect of human life. In terms of sociocultural aspects, TFK is necessary to protect ancestral culture. In terms of health, traditional foods contain better and...

    Authors: Ari Wibisono, Hanif Arief Wisesa, Zulia Putri Rahmadhani, Puteri Khatya Fahira, Petrus Mursanto and Wisnu Jatmiko

    Citation: Journal of Big Data 2020 7:69

    Content type: Research

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  7. Prediction using machine learning algorithms is not well adapted in many parts of the business decision processes due to the lack of clarity and flexibility. The erroneous data as inputs in the prediction proc...

    Authors: Samiul Islam and Saman Hassanzadeh Amin

    Citation: Journal of Big Data 2020 7:65

    Content type: Research

    Published on:

  8. Fiber optics cable has been adopted by telecommunication companies worldwide as the primary medium of transmission. The cable is steadily replacing long-haul microwave, copper cable, and satellite transmission...

    Authors: Owusu Nyarko-Boateng, Adebayo Felix Adekoya and Benjamin Asubam Weyori

    Citation: Journal of Big Data 2020 7:64

    Content type: Case Study

    Published on:

  9. Contraction Clustering (RASTER) is a single-pass algorithm for density-based clustering of 2D data. It can process arbitrary amounts of data in linear time and in constant memory, quickly identifying approxima...

    Authors: Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson and Mats Jirstrand

    Citation: Journal of Big Data 2020 7:62

    Content type: Research

    Published on:

  10. Exploiting available condition monitoring data of industrial machines for intelligent maintenance purposes has been attracting attention in various application fields. Machine learning algorithms for fault det...

    Authors: Claude Lehmann, Lilach Goren Huber, Thomas Horisberger, Georg Scheiba, Ana Claudia Sima and Kurt Stockinger

    Citation: Journal of Big Data 2020 7:61

    Content type: Research

    Published on:

  11. At the moment, there are increasing trends of using deep learning for plant diseases detection. However, their implementations may be difficult in developing countries due to several reasons. First, existing d...

    Authors: Hilman F. Pardede, Endang Suryawati, Vicky Zilvan, Ade Ramdan, R. Budiarianto S. Kusumo, Ana Heryana, R. Sandra Yuwana, Dikdik Krisnandi, Agus Subekti, Fani Fauziah and Vitria P. Rahadi

    Citation: Journal of Big Data 2020 7:57

    Content type: Research

    Published on:

  12. Group-based emotion recognition (GER) is an interesting topic in both security and social area. In this paper, a GER with hybrid optimization based recurrent fuzzy neural network is proposed which is from vide...

    Authors: Velagapudi Sreenivas, Varsha Namdeo and E. Vijay Kumar

    Citation: Journal of Big Data 2020 7:56

    Content type: Research

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  13. Forests are a global environmental priority that need to be monitored frequently and at large scales. Satellite images are a proven useful, free data source for regular global forest monitoring but these image...

    Authors: Jacinta Holloway-Brown, Kate J Helmstedt and Kerrie L Mengersen

    Citation: Journal of Big Data 2020 7:55

    Content type: Methodology

    Published on:

  14. Nowadays, machine learning classification techniques have been successfully used while building data-driven intelligent predictive systems in various application areas including smartphone apps. For an effecti...

    Authors: Iqbal H. Sarker, Hamed Alqahtani, Fawaz Alsolami, Asif Irshad Khan, Yoosef B. Abushark and Mohammad Khubeb Siddiqui

    Citation: Journal of Big Data 2020 7:51

    Content type: Methodology

    Published on:

  15. Big Data constructed based on the advancement of distributed computing and virtualization is considered as the current emerging trends in Data Analytics. It is used for supporting potential utilization of comp...

    Authors: V. Seethalakshmi, V. Govindasamy and V. Akila

    Citation: Journal of Big Data 2020 7:49

    Content type: Research

    Published on:

  16. Drawing from tenets of the resource-based theory, we propose and test a model that examines the relationship between the application of big data analytics (ABDA) and organizational performance (OP) in small an...

    Authors: Muhammad Qasim Shabbir and Syed Babar Waheed Gardezi

    Citation: Journal of Big Data 2020 7:47

    Content type: Research

    Published on:

  17. The article discusses the issues of improving the collection of traffic information using video cameras and the statistical processing of collected data. The aim of the article was to identify the main pattern...

    Authors: Vladimir Shepelev, Sergei Aliukov, Alexander Glushkov and Salavat Shabiev

    Citation: Journal of Big Data 2020 7:46

    Content type: Research

    Published on:

  18. Hadoop MapReduce is a framework to process vast amounts of data in the cluster of machines in a reliable and fault-tolerant manner. Since being aware of the runtime of a job is crucial to subsequent decisions ...

    Authors: Narges Peyravi and Ali Moeini

    Citation: Journal of Big Data 2020 7:44

    Content type: Research

    Published on:

  19. 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:

  20. 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:

  21. 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

    Published on:

  22. 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:

  23. 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

    Published on:

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

  24. 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:

  25. 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:

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