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All Journal INTERNAL (Information System Journal) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Digit : Digital of Information Technology Jurnal Difusi INTERNAL (Information System Journal)
Zulkifli Arsyad
Politeknik Negeri Bandung
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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Journal : INTERNAL (Information System Journal)

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TEXT MINING MENGGUNAKAN GENERATE ASSOCIATION RULE WITH WEIGHT (GARW) ALGORITHM UNTUK ANALISIS TEKS WEB CRAWLER Zulkifli Arsyad
INTERNAL (Information System Journal) Vol. 2 No. 2 (2019)
Publisher : Universitas Maso'em Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v2i2.86

Abstract

Text mining is widely used to find hidden patterns and information in a large number of semi and unstructured texts. Text mining extracts interesting patterns to explore knowledge from textual data sources. Association rule extraction GARW (Generating Association Rule using Weighting Scheme) can be used to find knowledge from a collection of web content without having to read all the web content manually from the many search results of crawlers. The GARW algorithm is a development of a priori to produce relevant association rules. From the results of this knowledge discovery can facilitate netizens users in finding relevant information from search keywords without having to review one by one web content generated from search engine searches.
Co-Authors Ade Hodijah Akhmad Bakhrun Ani Rahmani Ardhian Ekawijana Endang Habinuddin Endang Habinuddin Endang Hatma Juniwati Ida Suhartini Ida Suhartini Joe Lian Min NS Junaedi Rahil Jumiyani Santi Sundari Suhendar, Waway Qodratulloh