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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
15 years 10 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 2 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
15 years 10 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
79
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KDD
2008
ACM
147views Data Mining» more  KDD 2008»
15 years 10 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...
SIGOPS
2010
126views more  SIGOPS 2010»
14 years 8 months ago
Scaling a monitoring infrastructure for the Akamai network
We describe the design of, and experience with, Query, a monitoring system that supports the Akamai EdgePlatform. Query is a foundation of Akamai’s approach to administering its...
Thomas Repantis, Jeff Cohen, Scott Smith, Joel Wei...