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» CoDA: Interactive Cluster Based Concept Discovery
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PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
15 years 5 months ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...
KDD
2009
ACM
379views Data Mining» more  KDD 2009»
15 years 4 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
BIRTHDAY
2004
Springer
15 years 5 months ago
On the Formal Modelling of Trust in Reputation-Based Systems
In a reputation-based trust management system an entity’s behaviour determines its reputation which in turn affects other entities interaction with it. We present a mathematical...
Mogens Nielsen, Karl Krukow
CVPR
2003
IEEE
15 years 5 months ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo
BMCBI
2008
103views more  BMCBI 2008»
14 years 12 months ago
Discovering multi-level structures in bio-molecular data through the Bernstein inequality
Background: The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of s...
Alberto Bertoni, Giorgio Valentini