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Journal of Big Data
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  2. Argumentation mining is a research field which focuses on sentences in type of argumentation. Argumentative sentences are often used in daily communication and have important role in each decision or conclusio...

    Authors: Derwin Suhartono, Aryo Pradipta Gema, Suhendro Winton, Theodorus David, Mohamad Ivan Fanany and Aniati Murni Arymurthy

    Citation: Journal of Big Data 2020 7:90

    Content type: Research

    Published on:

  4. Significant investments to upgrade and construct large-scale scientific facilities demand commensurate investments in R&D to design algorithms and computing approaches to enable scientific and engineering brea...

    Authors: E. A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry and Aaron Saxton

    Citation: Journal of Big Data 2020 7:88

    Content type: Survey Paper

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  5. This paper describes a method for learning anomaly behavior in the video by finding an attention region from spatiotemporal information, in contrast to the full-frame learning. In our proposed method, a robust...

    Authors: Nasaruddin Nasaruddin, Kahlil Muchtar, Afdhal Afdhal and Alvin Prayuda Juniarta Dwiyantoro

    Citation: Journal of Big Data 2020 7:87

    Content type: Research

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  7. Real-time information mining of a big dataset consisting of time series data is a very challenging task. For this purpose, we propose using the mean distance and the standard deviation to enhance the accuracy ...

    Authors: Ari Wibisono, Petrus Mursanto, Jihan Adibah, Wendy D. W. T. Bayu, May Iffah Rizki, Lintang Matahari Hasani and Valian Fil Ahli

    Citation: Journal of Big Data 2020 7:85

    Content type: Research

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  8. This study deals with the problem of rea-time obtaining quality data on the road traffic parameters based on the static street video surveillance camera data. The existing road traffic monitoring solutions are...

    Authors: Kirill Khazukov, Vladimir Shepelev, Tatiana Karpeta, Salavat Shabiev, Ivan Slobodin, Irakli Charbadze and Irina Alferova

    Citation: Journal of Big Data 2020 7:84

    Content type: Research

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  10. Extensive usage of Internet based applications in day to day life has led to generation of huge amounts of data every minute. Apart from humans, data is generated by machines like sensors, satellite, CCTV etc....

    Authors: Gousiya Begum, S. Zahoor Ul Huq and A. P. Siva Kumar

    Citation: Journal of Big Data 2020 7:82

    Content type: Research

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  11. The growing number of Internet of Things (IoT) devices provide a massive pool of sensing data. However, turning data into actionable insights is not a trivial task, especially in the context of IoT, where appl...

    Authors: Tanmaya Mahapatra

    Citation: Journal of Big Data 2020 7:81

    Content type: Research

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  13. 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:

  16. 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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  20. 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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  21. 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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  22. 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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  23. 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

    Published on:

  27. 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

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  28. 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

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  30. 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

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  31. 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

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  35. 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

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  36. 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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  37. 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:

  41. 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

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  43. 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

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  45. 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:

  46. 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:

  48. 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:

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  • ISSN: 2196-1115 (electronic)