Year: 2006
Type: conference-paper
Abstract: Noise data in the Web document significantly affect on the performance of the Web information management system. Many researchers have proposed document structure based noise data elimination methods. In this paper, we propose a different approach that uses a redundant information elimination approach in the Web documents from the same URL path. We propose a redundant word/phrase filtering method for single or multiple tokenizations. We conducted two experiments to examine efficiency and effectiveness of our filtering approaches. Experimental results show that our approach produces a high performance in these two criteria
Source: UTAS Research Repository
Authors: Byeong Ho Kang, Yang Sok Kim
Language: English
Topic: Web Data Mining and Analysis
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1605611749