Annihilation of Traditional Union through Ktmax-Maxam Algorithm in Disorder Mining
Author(s) -
K. Thiagarajan,
A. Maheshwari,
J. Kavitha,
S Poonkuzhali,
K Thiagarajan,
K Sarukesi,
Bing Liu,
Kevin Chen-Chuan,
Chang,
Malik Agyemang,
Ken Barker Rada,
S,
Ricardo Campos,
Gael Dias,
Celia Nunes,
Wise,
Jiang Yiyong,
Zhang Jifu,
Zhang Caijainghui,
Hu Sulan,
Lihua,
Kshitija Pol,
Nita Patil,
Shreya Patankar,
Chhaya Das
Publication year - 2019
Publication title -
international journal of recent technology and engineering (ijrte)
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1061.0782s419
Subject(s) - computer science , information retrieval , data mining , world wide web , algorithm
Nowadays web contains many identical documents. Many efforts made towards in search engines with identical detection algorithms, still the retrieved web documents with redundant link. The proposed system, we are effectively identifying and minimize the redundant information from web documents. We introduce the degree based KTMAX-MAXAM algorithm filters out the redundant information. Using proposed KTMAX-MAXAM algorithm accessing of web pages with reduced time and space complexity.
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