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» New ensemble methods for evolving data streams
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ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
14 years 3 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
ICDE
2007
IEEE
148views Database» more  ICDE 2007»
14 years 10 months ago
Conquering the Divide: Continuous Clustering of Distributed Data Streams
Data is often collected over a distributed network, but in many cases, is so voluminous that it is impractical and undesirable to collect it in a central location. Instead, we mus...
Graham Cormode, S. Muthukrishnan, Wei Zhuang
ICMCS
2000
IEEE
80views Multimedia» more  ICMCS 2000»
14 years 1 months ago
Perceptually Transparent Attachment of Content-Based Data to Audio-Visual Documents
We present a new method for attaching data to digital audio-visual (AV) documents. Our method is steganographic, i.e., a secondary data stream is integrated or embedded into a giv...
Frank Kurth
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 8 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
13 years 10 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...