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» Mining Sectorial Episodes from Event Sequences
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MICCAI
2003
Springer
14 years 8 months ago
Episode Classification for the Analysis of Tissue/Instrument Interaction with Multiple Visual Cues
The assessment of surgical skills for Minimally Invasive Surgery (MIS) has traditionally been conducted with visual observation and objective scoring. This paper presents a practic...
Benny P. L. Lo, Ara Darzi, Guang-Zhong Yang
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
14 years 8 months ago
A generalized framework for mining spatio-temporal patterns in scientific data
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
AINA
2008
IEEE
14 years 2 months ago
Exploiting Frequent Episodes in Weighted Suffix Tree to Improve Intrusion Detection System
In this paper we proposed a weighted suffix tree and find out it can improve the Intrusion Detection System (IDS). We firstly focus on the analysis of computer kernel system call,...
Min-Feng Wang, Yen-Ching Wu, Meng-Feng Tsai
JCIT
2010
174views more  JCIT 2010»
13 years 2 months ago
Efficient Ming of Top-K Closed Sequences
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...
Panida Songram