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KDD
2005
ACM
166views Data Mining» more  KDD 2005»
16 years 6 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
16 years 6 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
16 years 3 months ago
Measuring Discrimination in Socially-Sensitive Decision Records.
Discrimination in social sense (e.g., against minorities and disadvantaged groups) is the subject of many laws worldwide, and it has been extensively studied in the social and eco...
Dino Pedreschi, Franco Turini, Salvatore Ruggieri
SDM
2009
SIAM
196views Data Mining» more  SDM 2009»
16 years 3 months ago
MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis.
With the explosion of social media, scalability becomes a key challenge. There are two main aspects of the problems that arise: 1) data volume: how to manage and analyze huge data...
Ching-Yung Lin, Jimeng Sun, Nan Cao, Shixia Liu, S...
CVPR
2010
IEEE
16 years 2 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman