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DKE
2007
153views more  DKE 2007»
14 years 11 months ago
Adaptive similarity search in streaming time series with sliding windows
The challenge in a database of evolving time series is to provide efficient algorithms and access methods for query processing, taking into consideration the fact that the databas...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 22 days ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 12 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
CCCG
2006
15 years 21 days ago
A Simple Streaming Algorithm for Minimum Enclosing Balls
We analyze an extremely simple approximation algorithm for computing the minimum enclosing ball (or the 1-center) of a set of points in high dimensions. We prove that this algorit...
Hamid Zarrabi-Zadeh, Timothy M. Chan
TKDE
2010
393views more  TKDE 2010»
14 years 6 months ago
Adaptive Join Operators for Result Rate Optimization on Streaming Inputs
Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data is provided by autonomous data sources through heterogeneous network environ...
Mihaela A. Bornea, Vasilis Vassalos, Yannis Kotidi...