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  1. 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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  2. 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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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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Page 1 of 6

2016 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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