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  1. 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

    Content type: Research

    Published on:

  2. 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

    Content type: Research

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  3. 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

    Content type: Research

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  4. Sensor data quality plays a vital role in Internet of Things (IoT) applications as they are rendered useless if the data quality is bad. This systematic review aims to provide an introduction and guide for res...

    Authors: Hui Yie Teh, Andreas W. Kempa-Liehr and Kevin I-Kai Wang

    Citation: Journal of Big Data 2020 7:11

    Content type: Survey Paper

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  5. Online social networks have established virtual platforms enabling people to express their opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate users as well as spammers a...

    Authors: Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie and Abdulaziz Albahlal

    Citation: Journal of Big Data 2020 7:10

    Content type: Research

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  6. Increased sensing data in the context of the Internet of Things (IoT) necessitates data analytics. It is challenging to write applications for Big Data systems due to complex, highly parallel software framewor...

    Authors: Tanmaya Mahapatra and Christian Prehofer

    Citation: Journal of Big Data 2020 7:4

    Content type: Research

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  7. The analysis and processing of big data are one of the most important challenges that researchers are working on to find the best approaches to handle it with high performance, low cost and high accuracy. In t...

    Authors: Saad Ahmed Dheyab, Mohammed Najm Abdullah and Buthainah Fahran Abed

    Citation: Journal of Big Data 2019 6:112

    Content type: Methodology

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  8. In building management, energy optimization is one of the main concern that needs to be automated. For automation, an intelligent system needs to be developed. However, an intelligent system needs to be traine...

    Authors: Bens Pardamean, Hery Harjono Muljo, Tjeng Wawan Cenggoro, Bloomest Jansen Chandra and Reza Rahutomo

    Citation: Journal of Big Data 2019 6:110

    Content type: Research

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  9. With the rapid development of smart grids and increasing data collected in these networks, analyzing this massive data for applications such as marketing, cyber-security, and performance analysis, has gained p...

    Authors: Mohammad Hasan Ansari, Vahid Tabatab Vakili and Behnam Bahrak

    Citation: Journal of Big Data 2019 6:109

    Content type: Research

    Published on:

  10. This paper presents a lifelong learning framework which constantly adapts with changing data patterns over time through incremental learning approach. In many big data systems, iterative re-training high dimen...

    Authors: Gautam Pal, Xianbin Hong, Zhuo Wang, Hongyi Wu, Gangmin Li and Katie Atkinson

    Citation: Journal of Big Data 2019 6:108

    Content type: Case Study

    Published on:

  11. Severe class imbalance between majority and minority classes in Big Data can bias the predictive performance of Machine Learning algorithms toward the majority (negative) class. Where the minority (positive) clas...

    Authors: Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy and Richard A. Bauder

    Citation: Journal of Big Data 2019 6:107

    Content type: Research

    Published on:

  12. Due to the advent of new technologies, devices, and communication tools such as social networking sites, the amount of data produced by mankind is growing rapidly every year. Big data is a collection of large ...

    Authors: Abolfazl Gandomi, Midia Reshadi, Ali Movaghar and Ahmad Khademzadeh

    Citation: Journal of Big Data 2019 6:106

    Content type: Research

    Published on:

  13. A number of technologies enabled by Internet of Thing (IoT) have been used for the prevention of various chronic diseases, continuous and real-time tracking system is a particularly important one. Wearable med...

    Authors: Abderrahmane Ed-daoudy and Khalil Maalmi

    Citation: Journal of Big Data 2019 6:104

    Content type: Research

    Published on:

  14. Feature selection is mainly used to lessen the dispensation load of data mining models. To condense the time for processing voluminous data, parallel processing is carried out with MapReduce (MR) technique. Ho...

    Authors: D. Renuka Devi and S. Sasikala

    Citation: Journal of Big Data 2019 6:103

    Content type: Research

    Published on:

  15. In the era of big data applications, the demand for more sophisticated data centers and high-performance data processing mechanisms is increasing drastically. Data are originally stored in storage systems. To ...

    Authors: Mahdi Torabzadehkashi, Siavash Rezaei, Ali HeydariGorji, Hosein Bobarshad, Vladimir Alves and Nader Bagherzadeh

    Citation: Journal of Big Data 2019 6:100

    Content type: Research

    Published on:

  16. Many systems can be represented as networks or graph collections of nodes joined by edges. The social structures in these networks can be investigated using graph theory through a process called social network...

    Authors: Nour Raeef Al-Molhem, Yasser Rahal and Mustapha Dakkak

    Citation: Journal of Big Data 2019 6:99

    Content type: Research

    Published on:

  17. In this paper we are proposing an adaptive and real-time approach to resolve real-time financial data integration latency problems and semantic heterogeneity. Due to constraints that we have faced in some proj...

    Authors: Noussair Fikri, Mohamed Rida, Noureddine Abghour, Khalid Moussaid and Amina El Omri

    Citation: Journal of Big Data 2019 6:97

    Content type: Research

    Published on:

  18. The Hadoop distributed file system (HDFS) is responsible for storing very large data-sets reliably on clusters of commodity machines. The HDFS takes advantage of replication to serve data requested by clients ...

    Authors: Hilmi Egemen Ciritoglu, John Murphy and Christina Thorpe

    Citation: Journal of Big Data 2019 6:94

    Content type: Research

    Published on:

  19. One of the most common diseases among women is breast cancer, the early diagnosis of which is of paramount importance. Given the time-consuming nature of the diagnosis process of the disease, using new methods...

    Authors: Seyed Reza Kamel, Reyhaneh YaghoubZadeh and Maryam Kheirabadi

    Citation: Journal of Big Data 2019 6:90

    Content type: Research

    Published on:

  20. With the growing use of information technology in all life domains, hacking has become more negatively effective than ever before. Also with developing technologies, attacks numbers are growing exponentially e...

    Authors: Khloud Al Jallad, Mohamad Aljnidi and Mohammad Said Desouki

    Citation: Journal of Big Data 2019 6:88

    Content type: Research

    Published on:

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Journal of Big Data Accepted into Scopus!

We are pleased to announce that the Journal of Big Data has been accepted into Scopus, the world's largest abstract and citation database of peer-reviewed literature. Read more about the journal's abstract and indexing on the 'About' page.

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