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» Mining Patterns in Long Sequential Data with Noise
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SIGKDD
2000
75views more  SIGKDD 2000»
13 years 4 months ago
Mining Patterns in Long Sequential Data with Noise
Wei Wang 0010, Jiong Yang, Philip S. Yu
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
11 years 7 months ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
SDM
2003
SIAM
174views Data Mining» more  SDM 2003»
13 years 6 months ago
STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data
In this paper, we focus on mining periodic patterns allowing some degree of imperfection in the form of random replacement from a perfect periodic pattern. In InfoMiner+, we propo...
Jiong Yang, Wei Wang 0010, Philip S. Yu
SDM
2003
SIAM
183views Data Mining» more  SDM 2003»
13 years 6 months ago
ApproxMAP: Approximate Mining of Consensus Sequential Patterns
Conventional sequential pattern mining methods may meet inherent difficulties in mining databases with long sequences and noise. They may generate a huge number of short and trivi...
Hye-Chung Kum, Jian Pei, Wei Wang 0010, Dean Dunca...
ADBIS
2001
Springer
115views Database» more  ADBIS 2001»
13 years 9 months ago
Interactive Constraint-Based Sequential Pattern Mining
Data mining is an interactive and iterative process. It is very likely that a user will execute a series of similar queries differing in pattern constraints and mining parameters,...
Marek Wojciechowski