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» Scalability for Clustering Algorithms Revisited
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VLDB
2005
ACM
93views Database» more  VLDB 2005»
14 years 2 months ago
Revisiting Pipelined Parallelism in Multi-Join Query Processing
Multi-join queries are the core of any integration service that integrates data from multiple distributed data sources. Due to the large number of data sources and possibly high v...
Bin Liu, Elke A. Rundensteiner
COMCOM
2007
156views more  COMCOM 2007»
13 years 8 months ago
A survey on clustering algorithms for wireless sensor networks
The past few years have witnessed increased interest in the potential use of wireless sensor networks (WSNs) in applications such as disaster management, combat field reconnaissa...
Ameer Ahmed Abbasi, Mohamed F. Younis
ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
14 years 1 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
14 years 9 months ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You
ICDE
1999
IEEE
139views Database» more  ICDE 1999»
14 years 10 months ago
Clustering Large Datasets in Arbitrary Metric Spaces
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehr...