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  1. Content type: Short Report

    Stepwise regression is a popular data-mining tool that uses statistical significance to select the explanatory variables to be used in a multiple-regression model.

    Authors: Gary Smith

    Citation: Journal of Big Data 2018 5:32

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  2. Content type: Research

    In the United States, advances in technology and medical sciences continue to improve the general well-being of the population. With this continued progress, programs such as Medicare are needed to help manage...

    Authors: Matthew Herland, Taghi M. Khoshgoftaar and Richard A. Bauder

    Citation: Journal of Big Data 2018 5:29

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  3. Content type: Research

    Influence maximization in the social network becomes increasingly important due to its various benefit and application in diverse areas. In this paper, we propose DERND D-hops that adapt the radius-neighborhoo...

    Authors: Mohammed Alshahrani, Fuxi Zhu, Lin Zheng, Soufiana Mekouar and Sheng Huang

    Citation: Journal of Big Data 2018 5:28

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  4. Content type: Research

    In this paper, we present a statistical model performed on the basis of a patient dataset. This model predicts efficiently the brain disease risk. Multiple regression was used to build the statistical model. T...

    Authors: Manal Zettam, Jalal Laassiri and Nourddine Enneya

    Citation: Journal of Big Data 2018 5:27

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  5. Content type: Research

    Drones are increasingly being used to perform risky and labor intensive aerial tasks cheaply and safely. To ensure operating costs are low and flights autonomous, their flight plans must be pre-built. In exist...

    Authors: Manu Shukla, Zhiqian Chen and Chang-Tien Lu

    Citation: Journal of Big Data 2018 5:24

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  6. Content type: Research

    This paper proposes a theoretical foundation for Big Data. More precisely, it explains how “functors”, a concept coming from Category Theory, can serve to model the various data structures commonly used to rep...

    Authors: Laurent Thiry, Heng Zhao and Michel Hassenforder

    Citation: Journal of Big Data 2018 5:21

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  7. Content type: Methodology

    This paper identifies a criterion for choosing an optimum set of selected features, or rejected null hypotheses, in high-dimensional data analysis. The method is designed for dimension reduction with multiple ...

    Authors: Amir Hassan Ghaseminejad Tafreshi

    Citation: Journal of Big Data 2018 5:19

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  8. Content type: Methodology

    The aim of this article is to analyze search and retrieval of workflows. It represents workflows relatedness based on transfer learning. Workflows from different domains (e.g. scientific or business) have simi...

    Authors: Tahereh Koohi-Var and Morteza Zahedi

    Citation: Journal of Big Data 2018 5:18

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  9. Content type: Research

    This paper deals with an efficient parallel and distributed framework for intensive computation with A* algorithm based on MapReduce concept. The A* algorithm is one of the most popular graph traversal algorit...

    Authors: Wilfried Yves Hamilton Adoni, Tarik Nahhal, Brahim Aghezzaf and Abdeltif Elbyed

    Citation: Journal of Big Data 2018 5:16

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  10. Content type: Research

    A data integration approach combines data from different sources and builds a unified view for the users. Big data integration inherently is a complex task, and the existing approaches are either potentially l...

    Authors: Hassan Alrehamy and Coral Walker

    Citation: Journal of Big Data 2018 5:14

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  11. Content type: Research

    Random swap algorithm aims at solving clustering by a sequence of prototype swaps, and by fine-tuning their exact location by k-means. This randomized search strategy is simple to implement and efficient. It r...

    Authors: Pasi Fränti

    Citation: Journal of Big Data 2018 5:13

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  12. Content type: Methodology

    Gathering public opinion by analyzing big social data has attracted wide attention due to its interactive and real time nature. For this, recent studies have relied on both social media and sentiment analysis ...

    Authors: Imane El Alaoui, Youssef Gahi, Rochdi Messoussi, Youness Chaabi, Alexis Todoskoff and Abdessamad Kobi

    Citation: Journal of Big Data 2018 5:12

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  13. Content type: Research

    The present article describes a concept for the creation and application of energy forecasting models in a distributed environment. Additionally, a benchmark comparing the time required for the training and ap...

    Authors: Jorge Ángel González Ordiano, Andreas Bartschat, Nicole Ludwig, Eric Braun, Simon Waczowicz, Nicolas Renkamp, Nico Peter, Clemens Düpmeier, Ralf Mikut and Veit Hagenmeyer

    Citation: Journal of Big Data 2018 5:11

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  14. Content type: Research

    Massive graphs are ubiquitous and at the heart of many real-world problems and applications ranging from the World Wide Web to social networks. As a result, techniques for compressing graphs have become increa...

    Authors: Ryan A. Rossi and Rong Zhou

    Citation: Journal of Big Data 2018 5:10

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  15. Content type: Research

    Complications of pregnancy and childbirth are a leading cause of maternal morbidities and mortalities in developing countries. World Health Organization (WHO) estimates that over 500,000 women and girls die ea...

    Authors: Mekuanint Simeneh Workie and Ayenew Molla Lakew

    Citation: Journal of Big Data 2018 5:7

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  16. Content type: Research

    Efficient management and analysis of large volumes of data is a demanding task of increasing scientific and industrial importance, as the ubiquitous generation of information governs more and more aspects of h...

    Authors: Georgios Chatzigeorgakidis, Sophia Karagiorgou, Spiros Athanasiou and Spiros Skiadopoulos

    Citation: Journal of Big Data 2018 5:4

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  17. Content type: Research

    Deep Learning and Big Data analytics are two focal points of data science. Deep Learning models have achieved remarkable results in speech recognition and computer vision in recent years. Big Data is important...

    Authors: Sahar Sohangir, Dingding Wang, Anna Pomeranets and Taghi M. Khoshgoftaar

    Citation: Journal of Big Data 2018 5:3

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  18. Content type: Survey Paper

    Big data has fundamentally changed the way organizations manage, analyze and leverage data in any industry. One of the most promising fields where big data can be applied to make a change is healthcare. Big he...

    Authors: Karim Abouelmehdi, Abderrahim Beni-Hessane and Hayat Khaloufi

    Citation: Journal of Big Data 2018 5:1

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  19. Content type: Research

    The huge variety of NoSQL Big Data has tossed a need for new pathways to store, process and analyze it. The quantum of data created is inconceivable along with a mixed breath of unknown veracity and creative v...

    Authors: Sachin S. Patil and Shefali P. Sonavane

    Citation: Journal of Big Data 2017 4:49

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  20. Content type: Research

    Supervised learning algorithms are nowadays successfully scaling up to datasets that are very large in volume, leveraging the potential of in-memory cluster-computing Big Data frameworks. Still, massive datase...

    Authors: Luca Venturini, Elena Baralis and Paolo Garza

    Citation: Journal of Big Data 2017 4:44

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  21. Content type: Research

    The world of DNA sequencing has not only been a difficult field since it was first worked upon, but it is also growing at an exponential rate. The amount of data involved in DNA searching is huge, thereby norm...

    Authors: Nilay Khare, Alind Khare and Farhan Khan

    Citation: Journal of Big Data 2017 4:41

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  22. Content type: Survey paper

    Data sensing, information processing, and networking technologies are being fast embedded into the very fabric of the contemporary city to enable the use of innovative solutions to overcome the challenges of s...

    Authors: Simon Elias Bibri and John Krogstie

    Citation: Journal of Big Data 2017 4:38

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  23. Content type: Research

    An important source of information presently is social media, which reports any major event including natural disasters. Social media also includes conversational data. As a result, the volume of data on socia...

    Authors: M. V. Sangameswar, M. Nagabhushana Rao and S. Satyanarayana

    Citation: Journal of Big Data 2017 4:39

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  24. Content type: Methodology

    Big datasets are often stored in flat files and can contain contradictory data. Contradictory data undermines the soundness of the information from a noisy dataset. Traditional tools such as pie chart and bar ...

    Authors: Honour Chika Nwagwu, George Okereke and Chukwuemeka Nwobodo

    Citation: Journal of Big Data 2017 4:36

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  25. Content type: Research

    This paper proposes a reinforcement learning based message transfer model for transferring news report messages through a selected path in a trusted provenance network with the objective of maximizing the rewa...

    Authors: Sanjoy Kumar Mukherjee and Sivaji Bandyopadhyay

    Citation: Journal of Big Data 2017 4:35

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  26. Content type: Research

    Classifying short texts to one category or clustering semantically related texts is challenging, and the importance of both is growing due to the rise of microblogging platforms, digital news feeds, and the li...

    Authors: Justin Zhan and Binay Dahal

    Citation: Journal of Big Data 2017 4:34

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  27. Content type: Research

    The restrictions that are related to using single distribution resampling for some specific computing devices’ memory gives developers several difficulties as a result of the increased effort and time needed ...

    Authors: Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad, Raja Zahilah Raja Mohd Radzi, Mazleena Salleh and Ahmad Fadhil Yusof

    Citation: Journal of Big Data 2017 4:33

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  28. Content type: Methodology

    The recent technology development in the concern of microarray experiments has provided many new potentialities in terms of simultaneous measurement. But new challenges have arisen from these massive quantitie...

    Authors: Fadoua Badaoui, Amine Amar, Laila Ait Hassou, Abdelhak Zoglat and Cyrille Guei Okou

    Citation: Journal of Big Data 2017 4:32

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2017 Journal Metrics

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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