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KDD
2009
ACM
229views Data Mining» more  KDD 2009»
14 years 8 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
14 years 8 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 8 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
DIS
2009
Springer
14 years 2 months ago
CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks
Abstract. Information networks, such as social networks and that extracted from bibliographic data, are changing dynamically over time. It is crucial to discover time-evolving comm...
Min-Soo Kim 0002, Jiawei Han
ICFCA
2007
Springer
14 years 1 months ago
A Parameterized Algorithm for Exploring Concept Lattices
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
Peggy Cellier, Sébastien Ferré, Oliv...