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  1. 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

    Content type: Research

    Published on:

  2. 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

    Content type: Research

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  3. 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

    Content type: Methodology

    Published on:

    The Correction to this article has been published in Journal of Big Data 2019 6:76

  4. 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

    Content type: Research

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  5. 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

    Content type: Research

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  6. 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

    Content type: Research

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  7. 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

    Content type: Research

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  8. 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

    Content type: Research

    Published on:

  9. 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

    Content type: Survey Paper

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  10. 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

    Content type: Research

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  11. 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

    Content type: Research

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  12. 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

    Content type: Research

    Published on:

  13. 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

    Content type: Research

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  14. 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

    Content type: Survey paper

    Published on:

  15. 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

    Content type: Methodology

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  16. 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

    Content type: Research

    Published on:

  17. 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

    Content type: Research

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  18. 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

    Content type: Research

    Published on:

  19. 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

    Content type: Methodology

    Published on:

  20. Predicting stock market price is considered as a challenging task of financial time series analysis, which is of great interest to stock investors, stock traders and applied researchers. Many machine learning ...

    Authors: Meryem Ouahilal, Mohammed El Mohajir, Mohamed Chahhou and Badr Eddine El Mohajir

    Citation: Journal of Big Data 2017 4:31

    Content type: Research

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  21. The explosive growing number of data from mobile devices, social media, Internet of Things and other applications has highlighted the emergence of big data. This paper aims to determine the worldwide research ...

    Authors: Ali Kalantari, Amirrudin Kamsin, Halim Shukri Kamaruddin, Nader Ale Ebrahim, Abdullah Gani, Ali Ebrahimi and Shahaboddin Shamshirband

    Citation: Journal of Big Data 2017 4:30

    Content type: Survey paper

    Published on:

  22. Transfer learning has been demonstrated to be effective for many real-world applications as it exploits knowledge present in labeled training data from a source domain to enhance a model’s performance in a tar...

    Authors: Oscar Day and Taghi M. Khoshgoftaar

    Citation: Journal of Big Data 2017 4:29

    Content type: Survey paper

    Published on:

  23. Big data has become popular for processing, storing and managing massive volumes of data. The clustering of datasets has become a challenging issue in the field of big data analytics. The K-means algorithm is ...

    Authors: Chowdam Sreedhar, Nagulapally Kasiviswanath and Pakanti Chenna Reddy

    Citation: Journal of Big Data 2017 4:27

    Content type: Research

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  24. Predictive analytics has gained a lot of reputation in the emerging technology Big data. Predictive analytics is an advanced form of analytics. Predictive analytics goes beyond data mining. A huge amount of me...

    Authors: N. Jayanthi, B. Vijaya Babu and N. Sambasiva Rao

    Citation: Journal of Big Data 2017 4:26

    Content type: Survey paper

    Published on:

  25. Text similarity measurement aims to find the commonality existing among text documents, which is fundamental to most information extraction, information retrieval, and text mining problems. Cosine similarity b...

    Authors: Sahar Sohangir and Dingding Wang

    Citation: Journal of Big Data 2017 4:25

    Content type: Research

    Published on:

  26. With the increasing demand for examining and extracting patterns from massive amounts of data, it is critical to be able to train large models to fulfill the needs that recent advances in the machine learning ...

    Authors: Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Flavio Villanustre and John Holt

    Citation: Journal of Big Data 2017 4:22

    Content type: Methodology

    Published on:

  27. Determining user’s perception of a brand in short periods of time has become crucial for business. Distilling brand perception directly from people’s comments in social media has promise. Current techniques fo...

    Authors: Manu Shukla, Raimundo Dos Santos, Andrew Fong and Chang-Tien Lu

    Citation: Journal of Big Data 2017 4:17

    Content type: Research

    Published on:

  28. Detecting botnets in a network is crucial because bots impact numerous areas such as cyber security, finance, health care, law enforcement, and more. Botnets are becoming more sophisticated and dangerous day-b...

    Authors: Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, Fangyan Zhang, Song Zhang, Hugh Medal, Mohammad Marufuzzaman and Linkan Bian

    Citation: Journal of Big Data 2017 4:14

    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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