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» Unsupervised Clustering In Streaming Data
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JMLR
2010
130views more  JMLR 2010»
14 years 4 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
INFOSCALE
2007
ACM
14 years 11 months ago
Citation data clustering for author name disambiguation
In this paper, we propose a new method of citation data clustering for author name disambiguation. Most citation data appearing in the reference section of scientific papers incl...
Tomonari Masada, Atsuhiro Takasu, Jun Adachi
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
14 years 11 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
ESWA
2008
119views more  ESWA 2008»
14 years 10 months ago
Incremental clustering of mixed data based on distance hierarchy
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Chung-Chian Hsu, Yan-Ping Huang
ICDE
1996
IEEE
157views Database» more  ICDE 1996»
15 years 11 months ago
High Availability in Clustered Multimedia Servers
Clustered multimedia servers, consisting of interconnected nodes and disks, have been proposed for large scale servers, that are capable of supporting multiple concurrent streams ...
Renu Tewari, Daniel M. Dias, Rajat Mukherjee, Harr...