Indonesian News Searching Probability Using Booyer-Moore and Bayes Algorithm

Purwanti, Witri (2011) Indonesian News Searching Probability Using Booyer-Moore and Bayes Algorithm. Other thesis, Fakultas Ilmu Komputer, UNIKA Soegijapranata.

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Abstract

Amount of Indonesian language articles in web browser is greater, but not all the articles on the internet known it’s category. To analize category of article we need automatically articles classification. Naïve Bayes algorithm is best choice to analize probability of news category, whereas for matching words using the booyer algorithm and use binary tree as a data structure. Probability News Searching is a simple Application to searching news or article in the web page, display list URL, open browser, save HTML page on text file, Searching keyword in text file and show probability of string matching based on score in Booyer-Moore.

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Internet
Divisions: Faculty of Computer Science
Depositing User: Mr Ign. Setya Dwiana
Date Deposited: 16 Mar 2016 08:46
Last Modified: 16 Mar 2016 08:46
URI: http://repository.unika.ac.id/id/eprint/7997

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