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» CoDA: Interactive Cluster Based Concept Discovery
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PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
16 years 1 days 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 10 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 11 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 11 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»
15 years 6 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