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» Cluster Analysis of High-Dimensional Data: A Case Study
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SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
14 years 8 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
ALT
2008
Springer
14 years 4 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster
CN
2002
112views more  CN 2002»
13 years 7 months ago
State-dependent M/G/1 type queueing analysis for congestion control in data networks
Abstract--We study in this paper a TCP-like linear-increase multiplicative-decrease flow control mechanism. We consider congestion signals that arrive in batches according to a Poi...
Eitan Altman, Konstantin Avrachenkov, Chadi Baraka...
WEBI
2009
Springer
14 years 2 months ago
Revealing Hidden Community Structures and Identifying Bridges in Complex Networks: An Application to Analyzing Contents of Web P
The emergence of scale free and small world properties in real world complex networks has stimulated lots of activity in the field of network analysis. An example of such a netwo...
Faraz Zaidi, Arnaud Sallaberry, Guy Melanço...
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
14 years 8 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt