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CIKM
2004
Springer
14 years 6 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
PPOPP
2005
ACM
14 years 11 days ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
ITNG
2006
IEEE
14 years 25 days ago
Closed Multidimensional Sequential Pattern Mining
We propose a new method, called closed multidimensional sequential pattern mining, for mining multidimensional sequential patterns. The new method is an integration of closed sequ...
Panida Songram, Veera Boonjing, Sarun Intakosum
DIS
2010
Springer
13 years 5 months ago
Mining Class-Correlated Patterns for Sequence Labeling
Sequence labeling is the task of assigning a label sequence to an observation sequence. Since many methods to solve this problem depend on the specification of predictive features...
Thomas Hopf, Stefan Kramer
IJAR
2011
118views more  IJAR 2011»
12 years 10 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo