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» On Finding Frequent Patterns in Event Sequences
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ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
13 years 11 months ago
Discovering Frequent Arrangements of Temporal Intervals
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...
Panagiotis Papapetrou, George Kollios, Stan Sclaro...
ICDE
2004
IEEE
116views Database» more  ICDE 2004»
14 years 7 months ago
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
Mining sequential patterns in large databases is an important research topic. The main challenge of mining sequential patterns is the high processing cost due to the large amount ...
Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen
PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
13 years 10 months ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals
SYRCODIS
2007
99views Database» more  SYRCODIS 2007»
13 years 7 months ago
Association Rules Discovery in Multivariate Time Series
A problem of association rules discovery in a multivariate time series is considered in this paper. A method for finding interpretable association rules between frequent qualitati...
Elena Lutsiv
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
11 years 8 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