Daftar Isi: Indonesian News Searching Probability Using Booyer-Moore and Bayes Algorithm

Main Author:	Purwanti, Witri
Format:	Thesis NonPeerReviewed Book
Bahasa:	eng
Terbitan:	, 2011
Subjects:	Internet
Online Access:	http://repository.unika.ac.id/7997/1/06.02.0070%20Witri%20Purwanti%20COVER.pdf http://repository.unika.ac.id/7997/2/06.02.0070%20Witri%20Purwanti%20BAB%20I.pdf http://repository.unika.ac.id/7997/3/06.02.0070%20Witri%20Purwanti%20BAB%20II.pdf http://repository.unika.ac.id/7997/4/06.02.0070%20Witri%20Purwanti%20BAB%20III.pdf http://repository.unika.ac.id/7997/5/06.02.0070%20Witri%20Purwanti%20BAB%20IV.pdf http://repository.unika.ac.id/7997/6/06.02.0070%20Witri%20Purwanti%20BAB%20V.pdf http://repository.unika.ac.id/7997/7/06.02.0070%20Witri%20Purwanti%20BAB%20VI.pdf http://repository.unika.ac.id/7997/

Daftar Isi:

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.