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  1. In recent years, mobility data from smart cards, mobile phones and sensors have become increasingly available. However, they often lack some of the key information including the purposes of trips for each indi...

    Authors: Takashi Nicholas Maeda, Narushige Shiode, Chen Zhong, Junichiro Mori and Tetsuo Sakimoto
    Citation: Journal of Big Data 2019 6:4
  2. The present work is a part of the ESTenLigne project which is the result of several years of experience for developing e-learning in Sidi Mohamed Ben Abdellah University through the implementation of open, onl...

    Authors: Karim Dahdouh, Ahmed Dakkak, Lahcen Oughdir and Abdelali Ibriz
    Citation: Journal of Big Data 2019 6:2
  3. Using the theory of affordance from perceptual psychology and through discussion of literature within visual data mining and immersive analytics, a position for the multi-sensory representation of big data usi...

    Authors: Jules Moloney, Branka Spehar, Anastasia Globa and Rui Wang
    Citation: Journal of Big Data 2018 5:53
  4. Measuring pairwise document similarity is an essential operation in various text mining tasks. Most of the similarity measures judge the similarity between two documents based on the term weights and the infor...

    Authors: Marzieh Oghbaie and Morteza Mohammadi Zanjireh
    Citation: Journal of Big Data 2018 5:52
  5. Query processing based on labeling dynamic XML documents has gained more attention in the past several years. An efficient labeling scheme should provide small size labels keeping the simplicity of the exploit...

    Authors: Eynollah Khanjari and Leila Gaeini
    Citation: Journal of Big Data 2018 5:50
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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

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

  27. 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
  28. 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
  29. 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

Annual Journal Metrics

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    8.1 - 2-year Impact Factor
    5.095 - SNIP (Source Normalized Impact per Paper)
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