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» A new algorithm for gap constrained sequence mining
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PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
14 years 1 months ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
KDD
2004
ACM
127views Data Mining» more  KDD 2004»
14 years 8 months ago
A generative probabilistic approach to visualizing sets of symbolic sequences
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
Peter Tiño, Ata Kabán, Yi Sun
ICDM
2007
IEEE
143views Data Mining» more  ICDM 2007»
14 years 1 months ago
Bit Sequences and Biclustering of Text Documents
We propose a new technique for clustering of text documents that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorith...
Selim Mimaroglu, Kuniaki Uehara
ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
14 years 1 months ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
CEE
2010
185views more  CEE 2010»
13 years 7 months ago
A constrained optimization approach for an adaptive generalized subspace tracking algorithm
In this paper, we present a new algorithm for tracking the generalized signal subspace recursively. It is based on an interpretation of the generalized signal subspace as the solu...
Amir Valizadeh, Mahsa Najibi