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NBIS
2010
Springer
15 years 4 months ago
Mining Association Rules Consisting of Download Servers from Distributed Honeypot Observation
This paper aims to find interested association rules, known as data mining technique, out of the dataset of downloading logs by focusing on the coordinated activity among downloadi...
Masayuki Ohrui, Hiroaki Kikuchi, Masato Terada
WWW
2007
ACM
16 years 7 months ago
Towards efficient dominant relationship exploration of the product items on the web
In recent years, there has been a prevalence of search engines being employed to find useful information in the Web as they efficiently explore hyperlinks between web pages which ...
Zhenglu Yang, Lin Li, Botao Wang, Masaru Kitsurega...
KDD
2003
ACM
146views Data Mining» more  KDD 2003»
16 years 7 months ago
Probabilistic discovery of time series motifs
Several important time series data mining problems reduce to the core task of finding approximately repeated subsequences in a longer time series. In an earlier work, we formalize...
Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonar...
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
16 years 7 months ago
Natural communities in large linked networks
We are interested in finding natural communities in largescale linked networks. Our ultimate goal is to track changes over time in such communities. For such temporal tracking, we...
John E. Hopcroft, Omar Khan, Brian Kulis, Bart Sel...
KDD
2001
ACM
181views Data Mining» more  KDD 2001»
16 years 7 months ago
Identifying non-actionable association rules
Building predictive models and finding useful rules are two important tasks of data mining. While building predictive models has been well studied, finding useful rules for action...
Bing Liu, Wynne Hsu, Yiming Ma