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KDD
2012
ACM
226views Data Mining» more  KDD 2012»
8 years 2 months ago
TourViz: interactive visualization of connection pathways in large graphs
We present TOURVIZ, a system that helps its users to interactively visualize and make sense in large network datasets. In particular, it takes as input a set of nodes the user spe...
Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Han...
IUI
2011
ACM
9 years 2 months ago
Groups without tears: mining social topologies from email
As people accumulate hundreds of “friends” in social media, a flat list of connections becomes unmanageable. Interfaces agnostic to social structure hinder the nuanced sharin...
Diana MacLean, Sudheendra Hangal, Seng Keat Teh, M...
AMW
2011
9 years 3 months ago
SNQL: A Social Networks Query and Transformation Language
Abstract. Social Network (SN) data has become ubiquitous, demanding advanced and flexible means to represent, transform and query such data. In addition to the intrinsic challenge...
Mauro San Martín, Claudio Gutierrez, Peter ...
ASIACRYPT
2010
Springer
9 years 9 months ago
Structured Encryption and Controlled Disclosure
We consider the problem of encrypting structured data (e.g., a web graph or a social network) in such a way that it can be efficiently and privately queried. For this purpose, we ...
Melissa Chase, Seny Kamara
FUIN
2008
98views more  FUIN 2008»
9 years 11 months ago
A Restarted Strategy for Efficient Subsumption Testing
We study runtime distributions of subsumption testing. On graph data randomly sampled from two different generative models we observe a gradual growth of the tails of the distribut...
Ondrej Kuzelka, Filip Zelezný
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
10 years 1 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
CIKM
2008
Springer
10 years 1 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan
PKDD
2000
Springer
159views Data Mining» more  PKDD 2000»
10 years 3 months ago
An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data
Abstract. This paper proposes a novel approach named AGM to eciently mine the association rules among the frequently appearing substructures in a given graph data set. A graph tran...
Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda
SIGMOD
2010
ACM
274views Database» more  SIGMOD 2010»
10 years 4 months ago
K-isomorphism: privacy preserving network publication against structural attacks
Serious concerns on privacy protection in social networks have been raised in recent years; however, research in this area is still in its infancy. The problem is challenging due ...
James Cheng, Ada Wai-Chee Fu, Jia Liu
GD
2004
Springer
10 years 5 months ago
Drawing the AS Graph in 2.5 Dimensions
We propose a method for drawing AS graph data using 2.5D graph visualization. In order to bring out the pure graph structure of the AS graph we consider its core hierarchy. The k-c...
Michael Baur, Ulrik Brandes, Marco Gaertler, Dorot...
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