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WIDM
2005
ACM
15 years 7 months ago
A search result clustering method using informatively named entities
Clustering the results of a search helps the user to overview the information returned. In this paper, we regard the clustering task as indexing the search results. Here, an index...
Hiroyuki Toda, Ryoji Kataoka
BMCBI
2008
122views more  BMCBI 2008»
15 years 1 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
ICN
2005
Springer
15 years 7 months ago
On the Security of Cluster-Based Communication Protocols for Wireless Sensor Networks
Wireless sensor networks are ad hoc networks comprised mainly of small sensor nodes with limited resources, and are rapidly emerging as a technology for large-scale, lowcost, autom...
Adrian Carlos Ferreira, Marcos Aurélio Vila...
DASFAA
2008
IEEE
118views Database» more  DASFAA 2008»
15 years 8 months ago
RAIN: Always on Data Warehousing
Abstract. The Redundant Arrays of Inexpensive DWS Nodes (RAIN) technique is a node-level data replication approach that introduces failover capabilities to DWS (Data Warehouse Stri...
Jorge Vieira, Marco Vieira, Marco Costa, Henrique ...
AUSAI
2005
Springer
15 years 7 months ago
Finding Similar Patterns in Microarray Data
Abstract. In this paper we propose a clustering algorithm called sCluster for analysis of gene expression data based on pattern-similarity. The algorithm captures the tight cluster...
Xiangsheng Chen, Jiuyong Li, Grant Daggard, Xiaodi...