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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 10 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...
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
14 years 10 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon
SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
14 years 10 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han
MOBISYS
2007
ACM
14 years 10 months ago
Experiences of designing and deploying intelligent sensor nodes to monitor hand-arm vibrations in the field
The NEMO project is exploring the use of mobile sensor nodes to augment physical work artefacts in order to ensure compliance with health and safety regulations. In this paper we ...
Christos Efstratiou, Nigel Davies, Gerd Kortuem, J...
WSDM
2010
ACM
227views Data Mining» more  WSDM 2010»
14 years 7 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...