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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 8 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
PKDD
1999
Springer
118views Data Mining» more  PKDD 1999»
13 years 12 months ago
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
Alexandr A. Savinov
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 3 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
PVLDB
2010
135views more  PVLDB 2010»
13 years 6 months ago
Similarity Search and Mining in Uncertain Databases
Managing, searching and mining uncertain data has achieved much attention in the database community recently due to new sensor technologies and new ways of collecting data. There ...
Matthias Renz, Reynold Cheng, Hans-Peter Kriegel, ...
CATE
2004
190views Education» more  CATE 2004»
13 years 9 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...