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ICDE
2010
IEEE
750views Database» more  ICDE 2010»
13 years 12 months ago
Efficient and accurate discovery of patterns in sequence datasets
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel
DCC
2007
IEEE
14 years 7 months ago
A Simple Statistical Algorithm for Biological Sequence Compression
This paper introduces a novel algorithm for biological sequence compression that makes use of both statistical properties and repetition within sequences. A panel of experts is ma...
Minh Duc Cao, Trevor I. Dix, Lloyd Allison, Chris ...
CORR
2007
Springer
99views Education» more  CORR 2007»
13 years 7 months ago
Periodic complementary sets of binary sequences
Let PCSN p denote a set of p binary sequences of length N such that the sum of their periodic auto-correlation functions is a δ-function. In the 1990, B¨omer and Antweiler addres...
Dragomir Z. Djokovic
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 12 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
ICSE
2005
IEEE-ACM
14 years 7 months ago
Efficient and precise dynamic impact analysis using execute-after sequences
As software evolves, impact analysis estimates the potential effects of changes, before or after they are made, by identifying which parts of the software may be affected by such ...
Taweesup Apiwattanapong, Alessandro Orso, Mary Jea...