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ICML
2006
IEEE
16 years 17 days ago
A statistical approach to rule learning
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
Stefan Kramer, Ulrich Rückert
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
15 years 5 months ago
Separating Structure from Interestingness
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen
TKDE
2002
141views more  TKDE 2002»
14 years 11 months ago
Algorithms for Finding Attribute Value Group for Binary Segmentation of Categorical Databases
We consider the problem of finding a set of attribute values that give a high quality binary segmentation of a database. The quality of a segmentation is defined by an objective fu...
Yasuhiko Morimoto, Takeshi Fukuda, Takeshi Tokuyam...
IROS
2007
IEEE
136views Robotics» more  IROS 2007»
15 years 6 months ago
A bounded uncertainty approach to cooperative localization using relative bearing constraints
— This paper describes an approach to cooperative localization which finds its roots in robust estimation, employing an unknown-but-bounded error model for sensor measurements. ...
Camillo J. Taylor, John R. Spletzer
ACSAC
2008
IEEE
15 years 6 months ago
The Role Hierarchy Mining Problem: Discovery of Optimal Role Hierarchies
Role hierarchies are fundamental to the role based access control (RBAC) model. The notion of role hierarchy is a well understood concept that allows senior roles to inherit the p...
Qi Guo, Jaideep Vaidya, Vijayalakshmi Atluri