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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 11 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
WSDM
2010
ACM
227views Data Mining» more  WSDM 2010»
15 years 8 months ago
Folks in folksonomies: Social link prediction from shared metadata
Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create lightweight semantic scaffolding to organize and shar...
Rossano Schifanella, Alain Barrat, Ciro Cattuto, B...
108
Voted
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
15 years 8 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke
85
Voted
PAKDD
1999
ACM
124views Data Mining» more  PAKDD 1999»
15 years 3 months ago
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
Empirical equations are an important class of regularities that can be discovered in databases. In this paper we concentrate on the role of equations as de nitions of attribute val...
Zbigniew W. Ras, Jan M. Zytkow
134
Voted
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 1 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich