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Title: :  Deep learning applications and challenges in big data analytics
PaperId: :  17443
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17443
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
DhruvaDronacharya College of Engineering

Abstract

Computer Engineering
Deep learning; Big data
Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information about problems such as national intelligence, cyber security, fraud detection, marketing, and medical informatics. Companies such as Google and Microsoft are analyzing large volumes of data for business analysis and decisions, impacting existing and future technology. Deep Learning algorithms extract highlevel, complex abstractions as data representations through a hierarchical learning process. Complex abstractions are learnt at a given level based on relatively simpler abstractions formulated in the preceding level in the hierarchy. A key benefit of Deep Learning is the analysis and learning of massive amounts of unsupervised data, making it a valuable tool for Big Data Analytics where raw data is largely unlabeled and un-categorized. In the present study, we explore how Deep Learning can be utilized for addressing some important problems in Big Data Analytics, including extracting complex patterns from massive volumes of data, semantic indexing, data tagging, fast information retrieval, and simplifying discriminative tasks. We also investigate some aspects of Deep Learning research that need further exploration to incorporate specific challenges introduced by Big Data Analytics, including streaming data, high-dimensional data, scalability of models, and distributed computing. We conclude by presenting insights into relevant future works by posing some questions, including defining data sampling criteria, domain adaptation modeling, defining criteria for obtaining useful data abstractions, improving semantic indexing, semisupervised learning, and active learning.

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IJARIIE Dhruva. "Deep learning applications and challenges in big data analytics" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 4732-4746
MLA Dhruva. "Deep learning applications and challenges in big data analytics." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 4732-4746.
APA Dhruva. (2022). Deep learning applications and challenges in big data analytics. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 4732-4746.
Chicago Dhruva. "Deep learning applications and challenges in big data analytics." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 4732-4746.
Oxford Dhruva. 'Deep learning applications and challenges in big data analytics', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 4732-4746. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Deep_learning_applications_and_challenges_in_big_data_analytics_ijariie17443.pdf (Accessed : ).
Harvard Dhruva. (2022) 'Deep learning applications and challenges in big data analytics', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 4732-4746IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Deep_learning_applications_and_challenges_in_big_data_analytics_ijariie17443.pdf (Accessed : )
IEEE Dhruva, "Deep learning applications and challenges in big data analytics," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 4732-4746, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Deep_learning_applications_and_challenges_in_big_data_analytics_ijariie17443.pdf [Accessed : ].
Turabian Dhruva. "Deep learning applications and challenges in big data analytics." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver Dhruva. Deep learning applications and challenges in big data analytics. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 4732-4746. Available from: https://ijariie.com/AdminUploadPdf/Deep_learning_applications_and_challenges_in_big_data_analytics_ijariie17443.pdf
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