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» CORE: Nonparametric Clustering of Large Numeric Databases.
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ICDE
2002
IEEE
146views Database» more  ICDE 2002»
14 years 8 months ago
Streaming-Data Algorithms for High-Quality Clustering
Streaming data analysis has recently attracted attention in numerous applications including telephone records, web documents and clickstreams. For such analysis, single-pass algor...
Liadan O'Callaghan, Adam Meyerson, Rajeev Motwani,...
ICDCS
2003
IEEE
14 years 22 days ago
Decision-Support Workload Characteristics on a Clustered Database Server from the OS Perspective
A range of database services are being offered on clusters of workstations today to meet the demanding needs of applications with voluminous datasets, high computational and I/O r...
Yanyong Zhang, Jianyong Zhang, Anand Sivasubramani...
DMIN
2008
152views Data Mining» more  DMIN 2008»
13 years 9 months ago
PCS: An Efficient Clustering Method for High-Dimensional Data
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
Wei Li 0011, Cindy Chen, Jie Wang
EDBT
2004
ACM
192views Database» more  EDBT 2004»
14 years 7 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 7 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar