A REVIEW OF IMPLEMENTATION OF DEEP LEARNING IN BIG DATA ANALYSIS

被引:0
|
作者
Lekhrajani, Serena [1 ]
Samdani, Krishna [1 ]
机构
[1] MPSTME NMIMS, Comp Engn Dept, Mumbai, Maharashtra, India
来源
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE CONFLUENCE 2018 ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING | 2018年
关键词
Big Data; Data Analysis; Deep Learning; Unsupervised Learning; Pattern Mining;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data is being generated very rapidly and at very high magnitudes. This data, termed as 'Big Data has found its use in many fields. The aim of this paper is to discuss the challenges posed by Big Data analysis and the techniques that can he used to solve these challenges. One of the most efficient techniques used to do so is Deep Learning. This paper also focuses on the models that have been implemented for big data analysis with deep learning and its applications.
引用
收藏
页码:520 / 525
页数:6
相关论文
共 50 条
  • [41] Significance of deep learning on big data analytics
    Mao, Jilei
    Mao, Zijun
    CIVIL, ARCHITECTURE AND ENVIRONMENTAL ENGINEERING, VOLS 1 AND 2, 2017, : 1597 - 1600
  • [42] Deep Learning of Astronomical Features with Big Data
    Lieu, Maggie
    Baines, Deborah
    Giordano, Fabrizio
    Merin, Bruno
    Arviset, Christophe
    Altieri, Bruno
    Conversi, Luca
    Carry, Benoit
    ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS XXVIII, 2019, 523 : 49 - 58
  • [43] Deep learning for small and big data in psychiatry
    Koppe, Georgia
    Meyer-Lindenberg, Andreas
    Durstewitz, Daniel
    NEUROPSYCHOPHARMACOLOGY, 2021, 46 (01) : 176 - 190
  • [44] Deep Learning in Big Data and Internet of Things
    Tomar, Dimpal
    Tomar, Pradeep
    Kaur, Gurjit
    INFORMATION, COMMUNICATION AND COMPUTING TECHNOLOGY, ICICCT 2018, 2019, 835 : 70 - 81
  • [45] Big Data: Deep Learning for detecting Malware
    Masabo, Emmanuel
    Kaawaase, Kyanda Swaib
    Sansa-Otim, Julianne
    2018 IEEE/ACM SYMPOSIUM ON SOFTWARE ENGINEERING IN AFRICA (SEIA), 2018, : 20 - 26
  • [46] Deep Learning with Big Data: An Emerging Trend
    Rani, Kumari Seema
    Kumari, Madhu
    Singh, V. B.
    Sharma, Meera
    2019 19TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ITS APPLICATIONS (ICCSA 2019), 2019, : 93 - 101
  • [47] Design and Implementation of a Prediction Approach Using Big Data and Deep Learning Techniques for Parking Occupancy
    H. Canlı
    S. Toklu
    Arabian Journal for Science and Engineering, 2022, 47 : 1955 - 1970
  • [48] Big Data Deep Learning: Challenges and Perspectives
    Chen, Xue-Wen
    Lin, Xiaotong
    IEEE ACCESS, 2014, 2 : 514 - 525
  • [49] Big Data Analytics - an Influence of Deep Learning
    Chandralekha, C.
    Divya, S.
    Aiswarya, N.
    BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS, 2020, 13 (06): : 220 - 223
  • [50] Deep Learning on Big, Sparse, Behavioral Data
    De Cnudde, Sofie
    Ramon, Yanou
    Martens, David
    Provost, Foster
    BIG DATA, 2019, 7 (04) : 286 - 307