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  A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique
 
 
Title: A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique
Author: Xia, Hui
Fang, Bin
Gao, Min
Ma, Hui
Tang, Yuanyan
Wen, Jing
Appeared in: Information sciences
Paging: Volume 306 (2015) nr. C pages 16 p.
Year: 2015
Contents:
Publisher: Elsevier Inc.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3 of 12 found articles
 
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