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KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 7 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»
16 years 7 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
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 7 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
IPSN
2004
Springer
15 years 12 months ago
The impact of spatial correlation on routing with compression in wireless sensor networks
The efficacy of data aggregation in sensor networks is a function of the degree of spatial correlation in the sensed phenomenon. While several data aggregation (i.e., routing with...
Sundeep Pattem, Bhaskar Krishnamachari, Ramesh Gov...
SIGECOM
2010
ACM
219views ECommerce» more  SIGECOM 2010»
15 years 11 months ago
Revenue maximization with a single sample
We design and analyze approximately revenue-maximizing auctions in general single-parameter settings. Bidders have publicly observable attributes, and we assume that the valuation...
Peerapong Dhangwatnotai, Tim Roughgarden, Qiqi Yan