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Improving Big Data Technologies with Visual Faceted Search

Advanced Analytics; Big data; Data visualization; Digital storage; Visualization; Big data applications; Complex searches; Data technologies; Document collection; End users; Exponential increase; Faceted search; Speed measurement; Search engines

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Bibliographic Details
Main Authors: Najah Mahdi M., Rahim Ahmad A., Ismail R., Subhi M.A.
Other Authors: 56727803900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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id my.uniten.dspace-25315
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spelling my.uniten.dspace-253152023-05-29T16:08:05Z Improving Big Data Technologies with Visual Faceted Search Najah Mahdi M. Rahim Ahmad A. Ismail R. Subhi M.A. 56727803900 57220807845 15839357700 57205154762 Advanced Analytics; Big data; Data visualization; Digital storage; Visualization; Big data applications; Complex searches; Data technologies; Document collection; End users; Exponential increase; Faceted search; Speed measurement; Search engines Because of the quantity, complexity and speed measurements of big data, access to the data needed for big data applications becomes ever more challenging for both end-users and IT-experts. access. This has however led to problems of overloading information. While progress has been made in search engines, finding the right information still is a struggle due to the exponential increase in the everyday information provided. The need for Big Data Analytic now powers other aspects of modern society, because they can build new linkages and discoveries that help drive tomorrow's innovation. Data visualization of big data applications is an important tool to interpret and understand immense data, making the technology more enticing to use. Visualization of a search result with faceted search is increasingly popular in search engines. This seeks to allow users to easily and effectively find their way through large document collections. FS strategies presume that correct information is required so that the value, importance, and expense of achieving the requested information is optimized. In this work, we propose a new FS framework for visualizing browsing and refinements of search results to allow users to visually build complex search queries. The proposed FS can also solve the problem of lexical uncertainty in current search engines and give users more interest. � 2020 IEEE. Final 2023-05-29T08:08:05Z 2023-05-29T08:08:05Z 2020 Conference Paper 10.1109/ICIMU49871.2020.9243380 2-s2.0-85097648087 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097648087&doi=10.1109%2fICIMU49871.2020.9243380&partnerID=40&md5=b4bfba60fbdede2be70aacf35a86ee98 https://irepository.uniten.edu.my/handle/123456789/25315 9243380 44 49 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Advanced Analytics; Big data; Data visualization; Digital storage; Visualization; Big data applications; Complex searches; Data technologies; Document collection; End users; Exponential increase; Faceted search; Speed measurement; Search engines
author2 56727803900
author_facet 56727803900
Najah Mahdi M.
Rahim Ahmad A.
Ismail R.
Subhi M.A.
format Conference Paper
author Najah Mahdi M.
Rahim Ahmad A.
Ismail R.
Subhi M.A.
spellingShingle Najah Mahdi M.
Rahim Ahmad A.
Ismail R.
Subhi M.A.
Improving Big Data Technologies with Visual Faceted Search
author_sort Najah Mahdi M.
title Improving Big Data Technologies with Visual Faceted Search
title_short Improving Big Data Technologies with Visual Faceted Search
title_full Improving Big Data Technologies with Visual Faceted Search
title_fullStr Improving Big Data Technologies with Visual Faceted Search
title_full_unstemmed Improving Big Data Technologies with Visual Faceted Search
title_sort improving big data technologies with visual faceted search
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806428172331253760
score 13.222552

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