Publication:
Visualization in Faceted Search Engine - A Review

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dc.citedby3
dc.contributor.authorMahdi M.N.en_US
dc.contributor.authorAhmad A.R.en_US
dc.contributor.authorSubhi M.A.en_US
dc.contributor.authorIsmail R.en_US
dc.contributor.authorQassim Q.S.en_US
dc.contributor.authorid56727803900en_US
dc.contributor.authorid35589598800en_US
dc.contributor.authorid57205154762en_US
dc.contributor.authorid15839357700en_US
dc.contributor.authorid36613541700en_US
dc.date.accessioned2023-05-29T08:07:00Z
dc.date.available2023-05-29T08:07:00Z
dc.date.issued2020
dc.descriptionAdvanced Analytics; Big data; Visualization; Faceted search; Information exploration; Large data; Pre-processing; Search process; Search enginesen_US
dc.description.abstractFinding information through search engines from large data repositories becomes more complicated due to three things; the growth and the size of the Web, insufficient relevancy of most of the search results, and the need to sort out the more relevant results from less relevant results. For more than a decade, many great methods and tools for visualization in faceted search engines have been developed and literature about them published in conference proceedings and journals. However, there are still rooms for improvement. To take up this, we have reviewed many visualizations based faceted search and performed our research especially on information exploration on the Web with the purpose of finding a better way to address visualization in faceted search. In this research, we discuss some issues among many, such as pre-processing and acquisition of search results that need to be taken into consideration in the development of a visualization based faceted search. The main contribution of this paper is a report of the review of past information on visualization-based faceted search tools and the mechanisms for enhancing filters to reduce down the results of the search process. � 2020 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9289761
dc.identifier.doi10.1109/ICBDA50157.2020.9289761
dc.identifier.epage89
dc.identifier.scopus2-s2.0-85099706276
dc.identifier.spage84
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85099706276&doi=10.1109%2fICBDA50157.2020.9289761&partnerID=40&md5=881442b8a75f98c195abc0831e2baf57
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25153
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2020 IEEE Conference on Big Data and Analytics, ICBDA 2020
dc.titleVisualization in Faceted Search Engine - A Reviewen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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