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» Separating Structure from Interestingness
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PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
14 years 7 months ago
Discovering Periodic-Frequent Patterns in Transactional Databases.
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...
VAMOS
2007
Springer
14 years 3 months ago
On the Structure of Problem Variability: From Feature Diagrams to Problem Frames
Requirements for product families are expressed in terms of commonality and variability. This distinction allows early identification of an appropriate software architecture and ...
Andreas Classen, Patrick Heymans, Robin C. Laney, ...
ICIP
2010
IEEE
13 years 7 months ago
Interactive graph cut segmentation of touching neuronal structures from electron micrographs
A novel interactive segmentation framework comprising of a two stage s-t mincut is proposed. The framework has been designed keeping in mind the need to segment touching neuronal ...
Vignesh Jagadeesh, B. S. Manjunath
ICPR
2008
IEEE
14 years 4 months ago
A colour text/graphics separation based on a graph representation
In this paper, a colour text/graphics segmentation is proposed. Firstly, it takes advantage of colour properties by computing a relevant hybrid colour model. Then an edge detectio...
Romain Raveaux, Jean-Christophe Burie, Jean-Marc O...
KDD
2006
ACM
183views Data Mining» more  KDD 2006»
14 years 10 months ago
Discovering interesting patterns through user's interactive feedback
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han