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ICDE
2009
IEEE
173views Database» more  ICDE 2009»
13 years 5 months ago
Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database
There is a huge wealth of sequence data available, for example, customer purchase histories, program execution traces, DNA, and protein sequences. Analyzing this wealth of data to ...
Bolin Ding, David Lo, Jiawei Han, Siau-Cheng Khoo
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 11 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
DFT
2003
IEEE
64views VLSI» more  DFT 2003»
14 years 21 days ago
Hybrid BIST Time Minimization for Core-Based Systems with STUMPS Architecture
1 This paper presents a solution to the test time minimization problem for core-based systems that contain sequential cores with STUMPS architecture. We assume a hybrid BIST approa...
Gert Jervan, Petru Eles, Zebo Peng, Raimund Ubar, ...
ICDM
2010
IEEE
201views Data Mining» more  ICDM 2010»
13 years 5 months ago
Mining Closed Strict Episodes
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often...
Nikolaj Tatti, Boris Cule
PAMI
2006
127views more  PAMI 2006»
13 years 7 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain