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  1. This project is funded by the US National Science Foundation (NSF) through their NSF RAPID program under the title “Modeling Corona Spread Using Big Data Analytics.” The project is a joint effort between the D...

    Authors: Flavio Villanustre, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw LexisNexis, Borko Furht and Taghi Khoshgoftaar
    Citation: Journal of Big Data 2021 8:33
  2. RNA-Seq data are utilized for biological applications and decision making for the classification of genes. A lot of works in recent time are focused on reducing the dimension of RNA-Seq data. Dimensionality re...

    Authors: Micheal Olaolu Arowolo, Marion Olubunmi Adebiyi, Ayodele Ariyo Adebiyi and Oludayo Olugbara
    Citation: Journal of Big Data 2021 8:29
  3. Multi-dimensional arrays (also known as raster data or gridded data) play a key role in many, if not all science and engineering domains where they typically represent spatio-temporal sensor, image, simulation...

    Authors: Peter Baumann, Dimitar Misev, Vlad Merticariu and Bang Pham Huu
    Citation: Journal of Big Data 2021 8:28
  4. Any computer vision application development starts off by acquiring images and data, then preprocessing and pattern recognition steps to perform a task. When the acquired images are highly imbalanced and not a...

    Authors: Vignesh Sampath, Iñaki Maurtua, Juan José Aguilar Martín and Aitor Gutierrez
    Citation: Journal of Big Data 2021 8:27
  5. Stemming has long been used in data pre-processing to retrieve information by tracking affixed words back into their root. In an Indonesian setting, existing stemming methods have been observed, and the existi...

    Authors: Rianto, Achmad Benny Mutiara, Eri Prasetyo Wibowo and Paulus Insap Santosa
    Citation: Journal of Big Data 2021 8:26
  6. The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately, many application domains do not have access to big data because acquiring data involves a process that is expensive or tim...

    Authors: Amina Adadi
    Citation: Journal of Big Data 2021 8:24
  7. Weighted finite-state transducers have been shown to be a general and efficient representation in many applications such as text and speech processing, computational biology, and machine learning. The composit...

    Authors: Bilal Elghadyry, Faissal Ouardi and Sébastien Verel
    Citation: Journal of Big Data 2021 8:22
  8. The MapReduce programming paradigm is frequently used in order to process and analyse a huge amount of data. This paradigm relies on the ability to apply the same operation in parallel on independent chunks of...

    Authors: Sara Migliorini, Alberto Belussi, Elisa Quintarelli and Damiano Carra
    Citation: Journal of Big Data 2021 8:21
  9. The stability of the economy and political system of any country highly depends on the policy of anti-money laundering (AML). If government policies are incapable of handling money laundering activities in an ...

    Authors: Abdul Khalique Shaikh, Malik Al-Shamli and Amril Nazir
    Citation: Journal of Big Data 2021 8:20
  10. The Dimensionality Curse is one of the most critical issues that are hindering faster evolution in several fields broadly, and in bioinformatics distinctively. To counter this curse, a conglomerate solution is...

    Authors: Khawla Tadist, Fatiha Mrabti, Nikola S. Nikolov, Azeddine Zahi and Said Najah
    Citation: Journal of Big Data 2021 8:19
  11. This survey explores how Deep Learning has battled the COVID-19 pandemic and provides directions for future research on COVID-19. We cover Deep Learning applications in Natural Language Processing, Computer Vi...

    Authors: Connor Shorten, Taghi M. Khoshgoftaar and Borko Furht
    Citation: Journal of Big Data 2021 8:18
  12. The stock market is very unstable and volatile due to several factors such as public sentiments, economic factors and more. Several Petabytes volumes of data are generated every second from different sources, ...

    Authors: Isaac Kofi Nti, Adebayo Felix Adekoya and Benjamin Asubam Weyori
    Citation: Journal of Big Data 2021 8:17
  13. The demand for computational resources is steadily increasing in experimental high energy physics as the current collider experiments continue to accumulate huge amounts of data and physicists indulge in more ...

    Authors: Nairit Sur, Leonardo Cristella, Adriano Di Florio and Vincenzo Mastrapasqua
    Citation: Journal of Big Data 2021 8:16
  14. Recent developments of portable sensor devices, cloud computing, and machine learning algorithms have led to the emergence of big data analytics in healthcare. The condition of the human body, e.g. the ECG sig...

    Authors: Nico Surantha, Tri Fennia Lesmana and Sani Muhamad Isa
    Citation: Journal of Big Data 2021 8:14
  15. With recent developments in ICT, the interest in using large amounts of accumulated data for traffic policy planning has increased significantly. In recent years, data polishing has been proposed as a new meth...

    Authors: Mio Hosoe, Masashi Kuwano and Taku Moriyama
    Citation: Journal of Big Data 2021 8:13
  16. In the medical field, distinguishing genes that are relevant to a specific disease, let’s say colon cancer, is crucial to finding a cure and understanding its causes and subsequent complications. Usually, medi...

    Authors: Salem Alelyani
    Citation: Journal of Big Data 2021 8:11
  17. Halal Supply Chain Management requires an assurance that the entire process of procurement, distribution, handling, and processing materials, spare parts, livestock, work-in-process, or finished inventory to b...

    Authors: Isti Surjandari, Harman Yusuf, Enrico Laoh and Rayi Maulida
    Citation: Journal of Big Data 2021 8:10
  18. Speech based human-machine interaction and natural language understanding applications have seen a rapid development and wide adoption over the last few decades. This has led to a proliferation of studies that...

    Authors: Asmaa El Hannani, Rahhal Errattahi, Fatima Zahra Salmam, Thomas Hain and Hassan Ouahmane
    Citation: Journal of Big Data 2021 8:5
  19. Knowledge graphs are a powerful concept for querying large amounts of data. These knowledge graphs are typically enormous and are often not easily accessible to end-users because they require specialized knowl...

    Authors: Shiqi Liang, Kurt Stockinger, Tarcisio Mendes de Farias, Maria Anisimova and Manuel Gil
    Citation: Journal of Big Data 2021 8:3
  20. Big Data analytics for storing, processing, and analyzing large-scale datasets has become an essential tool for the industry. The advent of distributed computing frameworks such as Hadoop and Spark offers effi...

    Authors: N. Ahmed, Andre L. C. Barczak, Teo Susnjak and Mohammed A. Rashid
    Citation: Journal of Big Data 2020 7:110
  21. Natural language processing has witnessed remarkable progress with the advent of deep learning techniques. Text summarization, along other tasks like text translation and sentiment analysis, used deep neural n...

    Authors: Molham Al-Maleh and Said Desouki
    Citation: Journal of Big Data 2020 7:109

    The Correction to this article has been published in Journal of Big Data 2021 8:56

  22. A massive amount of data is generated with the evolution of modern technologies. This high-throughput data generation results in Big Data, which consist of many features (attributes). However, irrelevant featu...

    Authors: A. N. M. Bazlur Rashid, Mohiuddin Ahmed, Leslie F. Sikos and Paul Haskell-Dowland
    Citation: Journal of Big Data 2020 7:107

    The Correction to this article has been published in Journal of Big Data 2020 7:111

  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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

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