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» Discovering Frequent Episodes in Sequences of Complex Events
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BPM
2009
Springer
175views Business» more  BPM 2009»
15 years 4 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira
83
Voted
COMAD
2008
14 years 11 months ago
REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
Pratibha Rani, Vikram Pudi
ICPP
2007
IEEE
15 years 3 months ago
Multi-Layer Event Trace Analysis for Parallel I/O Performance Tuning
The complexity of parallel I/O systems lies in the deep I/O stack with many software layers and concurrent I/O request handling at multiple layers. This paper explores multi-layer...
Pin Lu, Kai Shen
SDM
2010
SIAM
283views Data Mining» more  SDM 2010»
14 years 11 months ago
Cascading Spatio-temporal Pattern Discovery: A Summary of Results
Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
Pradeep Mohan, Shashi Shekhar, James A. Shine, Jam...
TKDE
2008
218views more  TKDE 2008»
14 years 9 months ago
A General Model for Sequential Pattern Mining with a Progressive Database
Although there have been many recent studies on the mining of sequential patterns in a static database and in a database with increasing data, these works, in general, do not fully...
Jen-Wei Huang, Chi-Yao Tseng, Jian Chih Ou, Ming-S...