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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»
15 years 11 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»
16 years 6 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»
15 years 12 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»
15 years 11 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»
15 years 5 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