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  1. Content type: Research

    Genome Wide Analytics Studies with regard to structural variations is a key component in phenome association. Here we analyze a family trio of father, mother and children for scientific discovery purpose.

    Authors: Abhishek Narain Singh

    Citation: Big Data Analytics 2018 3:6

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  2. Content type: Software

    Unsupervised machine-learned analysis of cluster structures, applied using the emergent self-organizing feature maps (ESOM) combined with the unified distance matrix (U-matrix) has been shown to provide an unb...

    Authors: Jörn Lötsch, Florian Lerch, Ruth Djaldetti, Irmgard Tegder and Alfred Ultsch

    Citation: Big Data Analytics 2018 3:5

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  3. Content type: Research

    One of the key technologies for future large-scale location-aware services covering a complex of multi-story buildings is a scalable indoor localization technique. In this paper, we report the current status of o...

    Authors: Kyeong Soo Kim, Sanghyuk Lee and Kaizhu Huang

    Citation: Big Data Analytics 2018 3:4

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  4. Content type: Review

    Distance metric plays an important role in machine learning which is crucial to the performance of a range of algorithms. Metric learning, which refers to learning a proper distance metric for a particular tas...

    Authors: Peipei Yang, Kaizhu Huang and Amir Hussain

    Citation: Big Data Analytics 2018 3:3

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  5. Content type: Research

    A comparative study of the use of bio-inspired optimization technologies including the Cuckoo Search (CS) algorithm, the Differential Evolution (DE) algorithm, and Quantum-behaved Particle Swarm Optimization (...

    Authors: Menglong He, Zhao Wang, Mark Leach, Zhenzhen Jiang and Eng Gee Lim

    Citation: Big Data Analytics 2018 3:1

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  6. Content type: Research

    Can biomarkers be used to predict the future work ability of patients admitted to hospital? To answer this question, we use a combination of biological measurements, registry data, data from questionnaires, an...

    Authors: Ove Andersen, Linda Camilla Andresen, Louise Lawson-Smith, Lea Sell and Inge Lissau

    Citation: Big Data Analytics 2017 2:11

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  7. Content type: Review

    Advertisers optimization is one of the most fundamental tasks in paid search, which is a multi-billion industry as a major part of the growing online advertising market. As paid search is a three-player game (...

    Authors: Qiufeng Wang, Kaizhu Huang, Song Li and Wei Yu

    Citation: Big Data Analytics 2017 2:8

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  8. Content type: Research

    Hot springs harbor rich bacterial diversity that could be the source of commercially important enzymes, antibiotics and many more products. Most of the hot springs present in Northeast of India are unexplored ...

    Authors: Amrita Kumari Panda, Satpal Singh Bisht, Bodh Raj Kaushal, Surajit De Mandal, Nachimuthu Senthil Kumar and Bharat C. Basistha

    Citation: Big Data Analytics 2017 2:7

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  9. Content type: Software

    In many applications where moderate to large datasets are used, plotting relationships between pairs of variables can be problematic. A large number of observations will produce a scatter-plot which is difficu...

    Authors: Sri Utami Zuliana and Aris Perperoglou

    Citation: Big Data Analytics 2017 2:6

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  10. Content type: Review

    The large amounts of data have created a need for new frameworks for processing. The MapReduce model is a framework for processing and generating large-scale datasets with parallel and distributed algorithms. ...

    Authors: Diego García-Gil, Sergio Ramírez-Gallego, Salvador García and Francisco Herrera

    Citation: Big Data Analytics 2017 2:1

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  11. Content type: Review

    Link prediction is one of the most fundamental tasks in statistical network analysis, for which latent feature models have been widely used. As large-scale networks are available in various application domains...

    Authors: Jun Zhu and Bei Chen

    Citation: Big Data Analytics 2017 2:3

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  12. Content type: Review

    Clustering is a key data mining task. This is the problem of partitioning a set of observations into clusters such that the intra-cluster observations are similar and the inter-cluster observations are dissimi...

    Authors: Mohammed Ghesmoune, Mustapha Lebbah and Hanene Azzag

    Citation: Big Data Analytics 2016 1:13

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  13. Content type: Review

    Neuromorphic Engineering has emerged as an exciting research area, primarily owing to the paradigm shift from conventional computing architectures to data-driven, cognitive computing. There is a diversity of w...

    Authors: Sumit Soman, jayadeva and Manan Suri

    Citation: Big Data Analytics 2016 1:15

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  14. Content type: Review

    The massive growth in the scale of data has been observed in recent years being a key factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety of data that require a new hi...

    Authors: Salvador García, Sergio Ramírez-Gallego, Julián Luengo, José Manuel Benítez and Francisco Herrera

    Citation: Big Data Analytics 2016 1:9

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  15. Content type: Research

    Data-based modeling is becoming practical in predicting outcomes. In the era of big data, two practically conflicting challenges are eminent: (1) the prior knowledge on the subject is largely insufficient; (2)...

    Authors: Yi Wang, Yi Li, Momiao Xiong, Yin Yao Shugart and Li Jin

    Citation: Big Data Analytics 2016 1:12

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  16. Content type: Research

    Mixed Order Hyper Networks (MOHNs) are a type of neural network in which the interactions between inputs are modelled explicitly by weights that can connect any number of neurons. Such networks have a human re...

    Authors: Kevin Swingler

    Citation: Big Data Analytics 2016 1:8

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  17. Content type: Research

    To ensure the output quality, current crowdsourcing systems highly rely on redundancy of answers provided by multiple workers with varying expertise, however massive redundancy is very expensive and time-consu...

    Authors: Man-Ching Yuen, Irwin King and Kwong-Sak Leung

    Citation: Big Data Analytics 2016 1:14

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  18. Content type: Research

    Human movement such as physical work, exercise and sport activities can be analyzed to determine kinetic (force) and kinematic (motion) characteristics. In the past, proper assessment of force variables requir...

    Authors: Andrew C. Fry, Trent J. Herda, Adam J. Sterczala, Michael A. Cooper and Matthew J. Andre

    Citation: Big Data Analytics 2016 1:11

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Page 1 of 2

2017 Journal Metrics

  • Speed
    52 days from submission to first decision
    128 days from submission to acceptance
    45 days from acceptance to publication

    Usage 
    55,840 downloads
    17 Altmetric mentions

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