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» Clustering graphs by weighted substructure mining
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114
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COMPSEC
2010
122views more  COMPSEC 2010»
15 years 3 days ago
Taming role mining complexity in RBAC
In this paper we address the problem of reducing the role mining complexity in RBAC systems. To this aim, we propose a three steps methodology: first, we associate a weight to rol...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...
126
Voted
JIIS
2006
113views more  JIIS 2006»
15 years 1 months ago
Spatial ordering and encoding for geographic data mining and visualization
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
Diansheng Guo, Mark Gahegan
143
Voted
CIKM
2010
Springer
15 years 12 days ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 8 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
14 years 11 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang