By the method of text mining, analize of most frequently used and successive words in Turkish and cooccurence rules
2010
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Advisor: Yrd. Doç. Dr. Gökhan Silahtaroğlu
Abstract (EN)
Today, computer systems are getting cheaper and their power is increasing day by day. Together with the progress of computer technology and digital data increase, the data mining has gained great importance. Text mining which is a sub-type of data mining is disclosure of text information hidden among piles. Proliferation of internet in parallel with the increase in the number of texts has increased the importance of text mining. Using text mining techniques, information in written forms can be made structured and meaningful. And then it becomes available in the data mining analysis. The main goal of text mining is to obtain meaningful and structured data in data mining. Moreover by using text mining, semantic and summative inference of the text stacks can be obtained.Key words: Data Mining, Association Rules, Association Rule Mining Algorithms, Apriori Algorithm, Text Mining, Text Mining Algorihtms
Author
Dr. Emine Kübra Çelikyay
Institution
İstanbul Beykent Üniversity
Bilgisayar Ağları ve İnternet Teknolojileri Bilim Dalı
How to Cite
Emine Kübra Çelikyay (Master Thesis). By the method of text mining, analize of most frequently used and successive words in Turkish and cooccurence rules, 2010, İstanbul Beykent Üniversity.
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