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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
14 years 8 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»
14 years 6 days 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»
14 years 8 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
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 8 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»
13 years 6 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...