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ICDCSW
2007
IEEE
15 years 11 months ago
Automated Ensemble Extraction and Analysis of Acoustic Data Streams
This paper addresses the design and use of distributed pipelines for automated processing of sensor data streams. In particular, we focus on the detection and extraction of meanin...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 7 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
IDEAS
2006
IEEE
99views Database» more  IDEAS 2006»
15 years 11 months ago
Securing the Borealis Data Stream Engine
As data stream management systems (DSMSs) become more and more popular, there is an increasing need to protect such systems from adversaries. In this paper we present an approach ...
Wolfgang Lindner, Jörg Meier
VLDB
2004
ACM
129views Database» more  VLDB 2004»
15 years 10 months ago
Detecting Change in Data Streams
Detecting changes in a data stream is an important area of research with many applications. In this paper, we present a novel method for the detection and estimation of change. In...
Daniel Kifer, Shai Ben-David, Johannes Gehrke
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
15 years 11 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...