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  1. 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

    Content type: Survey Paper

    Published on:

  2. 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

    Content type: Research

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  3. 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

    Content type: Research

    Published on:

  4. 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

    Content type: Research

    Published on:

  5. 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

    Content type: Research

    Published on:

  6. 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

    Content type: Survey Paper

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  7. 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

    Content type: Research

    Published on:

  8. 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

    Content type: Methodology

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  9. 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

    Content type: Research

    Published on:

  10. 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

    Content type: Research

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  11. 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

    Content type: Research

    Published on:

  12. 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

    Content type: Research

    Published on:

  13. 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

    Content type: Research

    Published on:

  14. 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

    Content type: Research

    Published on:

  15. 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

    Content type: Research

    Published on:

  16. 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

    Content type: Research

    Published on:

  17. 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

    Content type: Research

    Published on:

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

  18. 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:

  19. 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

    Published on:

  20. 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

    Published on:

  21. 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

    Published on:

  22. 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

    Published on:

  23. 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

    Published on:

  24. 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

    Published on:

  25. 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

    Published on:

  26. 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

    Published on:

  27. 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:

  28. 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:

  29. 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

    Published on:

  30. 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:

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