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  1. Content type: Research

    Regression trees (RTs) are simple, but powerful models, which have been widely used in the last decades in different scopes. Fuzzy RTs (FRTs) add fuzziness to RTs with the aim of dealing with uncertain environ...

    Authors: Javier Cózar, Francesco Marcelloni, José A. Gámez and Luis de la Ossa

    Citation: Journal of Big Data 2018 5:49

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  2. Content type: Research

    New generation databases also called NoSQL (Not only SQL) databases are highly scalable, flexible, and low-latent. These types of databases emerge as a result of the rigidity shown by traditional databases to ...

    Authors: Abdullahi Abubakar Imam, Shuib Basri, Rohiza Ahmad, Junzu Watada and María T. González-Aparicio

    Citation: Journal of Big Data 2018 5:46

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  3. Content type: Methodology

    In manufacturing, the technology to capture and store large volumes of data developed earlier and faster than corresponding capabilities to analyze, interpret, and apply it. The result for many manufacturers i...

    Authors: Phillip M. LaCasse, Wilkistar Otieno and Francisco P. Maturana

    Citation: Journal of Big Data 2018 5:45

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  4. Content type: Survey paper

    In a majority–minority classification problem, class imbalance in the dataset(s) can dramatically skew the performance of classifiers, introducing a prediction bias for the majority class. Assuming the positiv...

    Authors: Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder and Naeem Seliya

    Citation: Journal of Big Data 2018 5:42

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  5. Content type: Methodology

    In the era of Big Data, with the increasing use of large-scale data-driven applications, visualization of very large high-resolution images and extracting useful information (searching for specific targets or ...

    Authors: Muhammad Saleem, Hugo E. Valle, Stephen Brown, Veronica I. Winters and Akhtar Mahmood

    Citation: Journal of Big Data 2018 5:41

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  6. Content type: Research

    This paper presents a framework for discovering similar users on Twitter that can be used in profiling users for social, recruitment and security reasons. The framework contains a novel formula that calculates...

    Authors: Hind AlMahmoud and Shurug AlKhalifa

    Citation: Journal of Big Data 2018 5:39

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  7. Content type: Research

    One of the challenges in diagnosing stroke disease is the lack of useful analysis tool to identify critical stroke data that contains hidden relationships and trends from a vast amount of data. In order to add...

    Authors: Taufik Djatna, Medria Kusuma Dewi Hardhienata and Anis Fitri Nur Masruriyah

    Citation: Journal of Big Data 2018 5:35

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  8. Content type: Research

    Recently, the huge amounts of data and its incremental increase have changed the importance of information security and data analysis systems for Big Data. Intrusion detection system (IDS) is a system that mon...

    Authors: Suad Mohammed Othman, Fadl Mutaher Ba-Alwi, Nabeel T. Alsohybe and Amal Y. Al-Hashida

    Citation: Journal of Big Data 2018 5:34

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  9. Content type: Survey Paper

    Incredible amounts of data is being generated by various organizations like hospitals, banks, e-commerce, retail and supply chain, etc. by virtue of digital technology. Not only humans but machines also contri...

    Authors: P. Ram Mohan Rao, S. Murali Krishna and A. P. Siva Kumar

    Citation: Journal of Big Data 2018 5:33

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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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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  17. 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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  18. 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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  19. 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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  20. 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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  21. 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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  22. 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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  23. 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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  24. 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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  25. 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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  26. 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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  27. 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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  28. 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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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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