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Hordri et al., 2017 - Google Patents

A systematic literature review on features of deep learning in big data analytics

Hordri et al., 2017

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Document ID
5980527048258634869
Author
Hordri N
Samar A
Yuhaniz S
Shamsuddin S
Publication year
Publication venue
International Journal of Advances in Soft Computing & Its Applications

External Links

Snippet

Abstract Context: Deep Learning (DL) is a division of machine learning techniques that based on algorithms for learning multiples level of representations. Big Data Analytics (BDA) is the process of examining large scale of data and variety of data types. Objectives: The …
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Classifications

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    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
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    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06Q10/00Administration; Management

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