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» Finding Metric Structure in Information Theoretic Clustering
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ACMSE
2006
ACM
15 years 3 months ago
Discovering communities in complex networks
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
Hemant Balakrishnan, Narsingh Deo
BMCBI
2006
183views more  BMCBI 2006»
14 years 9 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
KAIS
2011
129views more  KAIS 2011»
14 years 4 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis
ICDE
2006
IEEE
146views Database» more  ICDE 2006»
15 years 11 months ago
Query Selection Techniques for Efficient Crawling of Structured Web Sources
The high quality, structured data from Web structured sources is invaluable for many applications. Hidden Web databases are not directly crawlable by Web search engines and are on...
Ping Wu, Ji-Rong Wen, Huan Liu, Wei-Ying Ma
87
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EWSN
2004
Springer
15 years 9 months ago
Max-Min Length-Energy-Constrained Routing in Wireless Sensor Networks
We consider the problem of inter-cluster routing between cluster heads via intermediate sensor nodes in a hierarchical sensor network. Sensor nodes having limited and unreplenishab...
Rajgopal Kannan, Lydia Ray, Ramaraju Kalidindi, S....