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FLAIRS
2007
13 years 9 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
14 years 4 months ago
Polynomial-Delay and Polynomial-Space Algorithms for Mining Closed Sequences, Graphs, and Pictures in Accessible Set Systems.
In this paper, we study efficient closed pattern mining in a general framework of set systems, which are families of subsets ordered by set-inclusion with a certain structure, pro...
Hiroki Arimura, Takeaki Uno
CIKM
2004
Springer
14 years 23 days ago
Scalable sequential pattern mining for biological sequences
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Ke Wang, Yabo Xu, Jeffrey Xu Yu
ICDE
2010
IEEE
199views Database» more  ICDE 2010»
14 years 2 months ago
Mining mutation chains in biological sequences
— The increasing infectious disease outbreaks has led to a need for new research to better understand the disease’s origins, epidemiological features and pathogenicity caused b...
Chang Sheng, Wynne Hsu, Mong-Li Lee, Joo Chuan Ton...
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
11 years 9 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