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PAKDD
2010
ACM
222views Data Mining» more  PAKDD 2010»
14 years 11 days ago
Online Sampling of High Centrality Individuals in Social Networks
In this work, we investigate the use of online or “crawling” algorithms to sample large social networks in order to determine the most influential or important individuals wit...
Arun S. Maiya, Tanya Y. Berger-Wolf
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
14 years 11 days ago
oddball: Spotting Anomalies in Weighted Graphs
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...
Leman Akoglu, Mary McGlohon, Christos Faloutsos
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
13 years 9 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy
PAKDD
2010
ACM
128views Data Mining» more  PAKDD 2010»
14 years 11 days ago
Privacy-Preserving Network Aggregation
Abstract. Consider the scenario where information about a large network is distributed across several different parties or commercial entities. Intuitively, we would expect that th...
Troy Raeder, Marina Blanton, Nitesh V. Chawla, Kei...
PAKDD
2010
ACM
178views Data Mining» more  PAKDD 2010»
14 years 11 days ago
SkyDist: Data Mining on Skyline Objects
The skyline operator is a well established database primitive which is traditionally applied in a way that only a single skyline is computed. In this paper we use multiple skylines...
Christian Böhm, Annahita Oswald, Claudia Plan...