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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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

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

  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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

Annual Journal Metrics

  • 2022 Citation Impact
    8.1 - 2-year Impact Factor
    5.095 - SNIP (Source Normalized Impact per Paper)
    2.714 - SJR (SCImago Journal Rank)

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    85 days submission to first editorial decision for all manuscripts (Median)
    181 days submission to accept (Median)

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