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» A new algorithm for gap constrained sequence mining
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SAC
2006
ACM
14 years 2 months ago
Discretization from data streams: applications to histograms and data mining
Abstract. In this paper we propose a new method to perform incremental discretization. The basic idea is to perform the task in two layers. The first layer receives the sequence o...
João Gama, Carlos Pinto
WWW
2007
ACM
14 years 9 months ago
Mining contiguous sequential patterns from web logs
Finding Contiguous Sequential Patterns (CSP) is an important problem in Web usage mining. In this paper we propose a new data structure, UpDown Tree, for CSP mining. An UpDown Tre...
Jinlin Chen, Terry Cook
BIBM
2007
IEEE
132views Bioinformatics» more  BIBM 2007»
14 years 3 months ago
A Divide-and-Conquer Implementation of Three Sequence Alignment and Ancestor Inference
In this paper, we present an algorithm to simultaneously align three biological sequences with affine gap model and infer their common ancestral sequence. Our algorithm can be fu...
Feng Yue, Jijun Tang
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
13 years 10 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 2 months ago
Discovering Frequent Arrangements of Temporal Intervals
In this paper we study a new problem in temporal pattern mining: discovering frequent arrangements of temporal intervals. We assume that the database consists of sequences of even...
Panagiotis Papapetrou, George Kollios, Stan Sclaro...