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  1. Flight delay is inevitable and it plays an important role in both profits and loss of the airlines. An accurate estimation of flight delay is critical for airlines because the results can be applied to increas...

    Authors: Maryam Farshchian Yazdi, Seyed Reza Kamel, Seyyed Javad Mahdavi Chabok and Maryam Kheirabadi

    Citation: Journal of Big Data 2020 7:106

    Content type: Research

    Published on:

  2. The amount of data produced by sensors, social and digital media, and Internet of Things (IoTs) are rapidly increasing each day. Decision makers often need to sift through a sea of Big Data to utilize informat...

    Authors: Tian J. Ma, Rudy J. Garcia, Forest Danford, Laura Patrizi, Jennifer Galasso and Jason Loyd

    Citation: Journal of Big Data 2020 7:103

    Content type: Methodology

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  3. There has been growing demand for 3D modeling from earth observations, especially for purposes of urban and regional planning and management. The results of 3D observations has slowly become the primary source...

    Authors: Ahmad Gamal, Ari Wibisono, Satrio Bagus Wicaksono, Muhammad Alvin Abyan, Nur Hamid, Hanif Arif Wisesa, Wisnu Jatmiko and Ronny Ardhianto

    Citation: Journal of Big Data 2020 7:102

    Content type: Research

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  4. Sorting algorithms are among the most commonly used algorithms in computer science and modern software. Having efficient implementation of sorting is necessary for a wide spectrum of scientific applications. T...

    Authors: Marek Nowicki

    Citation: Journal of Big Data 2020 7:101

    Content type: Research

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  5. In recent years, deep learning has become one of the most important topics in computer sciences. Deep learning is a growing trend in the edge of technology and its applications are now seen in many aspects of ...

    Authors: Hamidreza Bolhasani and Somayyeh Jafarali Jassbi

    Citation: Journal of Big Data 2020 7:100

    Content type: Research

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  6. Object detection and gender recognition were two different categories to be classified in a single section is a complicated task and this approach helps in supporting the blind people for an artificial vision....

    Authors: Damodara Krishna Kishore Galla, Babu Reddy Mukamalla and Rama Prakasha Reddy Chegireddy

    Citation: Journal of Big Data 2020 7:98

    Content type: Research

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  7. In the light of the recent technological advances in computing and data explosion, the complex interactions of the Sustainable Development Goals (SDG) present both a challenge and an opportunity to researchers...

    Authors: Kassim S. Mwitondi, Isaac Munyakazi and Barnabas N. Gatsheni

    Citation: Journal of Big Data 2020 7:97

    Content type: Research

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  8. A Full Blood Count (FBC) is a common blood test including 20 parameters, such as haemoglobin and platelets. FBCs from Electronic Health Record (EHR) databases provide a large sample of anonymised individual pa...

    Authors: Pradeep S. Virdee, Alice Fuller, Michael Jacobs, Tim Holt and Jacqueline Birks

    Citation: Journal of Big Data 2020 7:96

    Content type: Research

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  9. Gradient Boosted Decision Trees (GBDT’s) are a powerful tool for classification and regression tasks in Big Data. Researchers should be familiar with the strengths and weaknesses of current implementations of ...

    Authors: John T. Hancock and Taghi M. Khoshgoftaar

    Citation: Journal of Big Data 2020 7:94

    Content type: Survey Paper

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  10. A modern urban infrastructure no longer operates in isolation, but instead, leverages the latest technologies to collect, process, and distribute aggregated knowledge in order to improve the quality of the pro...

    Authors: Nataliia Neshenko, Christelle Nader, Elias Bou-Harb and Borko Furht

    Citation: Journal of Big Data 2020 7:92

    Content type: Survey Paper

    Published on:

  11. 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:

  12. 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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  13. 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

    Published on:

  14. 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

    Published on:

  15. 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

    Published on:

  16. 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

    Published on:

  17. 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

    Published on:

  18. 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:

  19. 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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  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:

  24. 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:

  25. 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:

  26. 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:

  27. 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:

  28. 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:

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