Výsledky vyhledávání - Advanced Soft Computing Methodologies AND Applications in Social Media Big Data Analytics

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  1. 1

    Big Data: Deep Learning for financial sentiment analysis Autor Sohangir, Sahar, Wang, Dingding, Pomeranets, Anna, Khoshgoftaar, Taghi M.

    ISSN: 2196-1115, 2196-1115
    Vydáno: Cham Springer International Publishing 25.01.2018
    Vydáno v Journal of big data (25.01.2018)
    “…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…”
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    Journal Article
  2. 2

    A hybrid semantic query expansion approach for Arabic information retrieval Autor ALMarwi, Hiba, Ghurab, Mossa, Al-Baltah, Ibrahim

    ISSN: 2196-1115, 2196-1115
    Vydáno: Cham Springer International Publishing 29.06.2020
    Vydáno v Journal of big data (29.06.2020)
    “…In fact, most of information retrieval systems retrieve documents based on keywords matching, which are certainly fail at retrieving documents that have…”
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  3. 3

    Hybrid gradient descent spider monkey optimization (HGDSMO) algorithm for efficient resource scheduling for big data processing in heterogenous environment Autor Seethalakshmi, V., Govindasamy, V., Akila, V.

    ISSN: 2196-1115, 2196-1115
    Vydáno: Cham Springer International Publishing 10.07.2020
    Vydáno v Journal of big data (10.07.2020)
    “…Big Data constructed based on the advancement of distributed computing and virtualization is considered as the current emerging trends in Data Analytics…”
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  4. 4

    Mining aspects of customer’s review on the social network Autor Nguyen Thi Ngoc, Tu, Nguyen Thi Thu, Ha, Nguyen, Viet Anh

    ISSN: 2196-1115, 2196-1115
    Vydáno: Cham Springer International Publishing 28.02.2019
    Vydáno v Journal of big data (28.02.2019)
    “…This study represents an efficient method for extracting product aspects from customer reviews and give solutions for inferring aspect ratings and aspect…”
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  5. 5

    A novel approach for big data processing using message passing interface based on memory mapping Autor Dheyab, Saad Ahmed, Abdullah, Mohammed Najm, Abed, Buthainah Fahran

    ISSN: 2196-1115, 2196-1115
    Vydáno: Cham Springer International Publishing 16.12.2019
    Vydáno v Journal of big data (16.12.2019)
    “…The analysis and processing of big data are one of the most important challenges that researchers are working on to find the best approaches to handle it with high performance, low cost and high accuracy…”
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  6. 6

    The MapReduce-based approach to improve the shortest path computation in large-scale road networks: the case of A algorithm Autor Adoni, Wilfried Yves Hamilton, Nahhal, Tarik, Aghezzaf, Brahim, Elbyed, Abdeltif

    ISSN: 2196-1115, 2196-1115
    Vydáno: Cham Springer International Publishing 03.05.2018
    Vydáno v Journal of big data (03.05.2018)
    “… An application on real road networks illustrates the feasibility and reliability of the proposed framework. The experiments performed on a 6-node Hadoop cluster proves that the proposed approach outperforms A* algorithm and achieves significant gain in terms of computation time…”
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  7. 7

    Bayesian hierarchical analyses for entrepreneurial intention of students Autor Ayalew, Mesfin Mulu

    ISSN: 2196-1115, 2196-1115
    Vydáno: Cham Springer International Publishing 09.03.2020
    Vydáno v Journal of big data (09.03.2020)
    “… Data with a hierarchical structure received more attention and occur frequently in social science, public health and epidemiological researches…”
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  8. 8

    Ally patches for spoliation of adversarial patches Autor Abdel-Hakim, Alaa E.

    ISSN: 2196-1115, 2196-1115
    Vydáno: Cham Springer International Publishing 07.06.2019
    Vydáno v Journal of big data (07.06.2019)
    “…Adversarial attacks represent a serious evolving threat to the operation of deep neural networks. Recently, adversarial algorithms were developed to facilitate…”
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  9. 9

    A glimpse on big data analytics in the framework of marketing strategies Autor Ducange, Pietro, Pecori, Riccardo, Mezzina, Paolo

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2018
    Vydáno v Soft computing (Berlin, Germany) (01.01.2018)
    “… Secondly, we focus on marketing, describing an operative methodology to get useful insights from social big data…”
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  10. 10

    Linking granular computing, big data and decision making: a case study in urban path planning Autor Li, Xiang, Zhou, Jiandong, Pedrycz, Witold

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2020
    Vydáno v Soft computing (Berlin, Germany) (01.05.2020)
    “…, offers an essential linkage between big data and decision making. By using innovative technologies of granular computing that transforms big data collections…”
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