Focused clustering and outlier detection in large attributed graphs-Reference-Cited by-同舟云学术

Focused clustering and outlier detection in large attributed graphs

Published:2014-08-24 Issue: Volume: Page:
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Container-title:Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
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Author:

Perozzi Bryan¹,Akoglu Leman¹,Iglesias Sánchez Patricia²,Müller Emmanuel³

Affiliation:

1. Stony Brook University, Stony Brook, NY, USA

2. Karlsruhe Institute of Technology, Karlsruhe, Germany

3. Karlsruhe Institute of Technology & University of Antwerp, Karlsruhe, Germany

Funder

Young Investigator Group program of KIT

Division of Information and Intelligent Systems

Flanders research foundation (FWO)

Office of Naval Research

Stony Brook University

Army Research Office

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2623330.2623682

Reference34 articles.

1. oddball: Spotting Anomalies in Weighted Graphs

2. PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs

3. Local Graph Partitioning using PageRank Vectors

4. Multi-way Clustering on Relation Graphs

5. S. Basu I. Davidson and K. Wagstaff. Clustering with Constraints: Algorithms Applications and Theory. 2008. S. Basu I. Davidson and K. Wagstaff. Clustering with Constraints: Algorithms Applications and Theory. 2008.

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