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ICDM
2009
IEEE
139views Data Mining» more  ICDM 2009»
13 years 5 months ago
Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets
In this paper, we focus on a single graph whose vertices contain a set of quantitative attributes. Several networks can be naturally represented in this complex graph. An example i...
Yuuki Miyoshi, Tomonobu Ozaki, Takenao Ohkawa
WWW
2008
ACM
14 years 8 months ago
Extraction and mining of an academic social network
This paper addresses several key issues in extraction and mining of an academic social network: 1) extraction of a researcher social network from the existing Web; 2) integration ...
Jie Tang, Jing Zhang, Limin Yao, Juan-Zi Li
ECAI
2004
Springer
14 years 1 months ago
Finding Social Network for Trust Calculation
Trust is a necessary concept to realize the Semantic Web. But how can we build a “Web of Trust”? We first argue that a small “Web of Trust” for each community is very esse...
Yutaka Matsuo, Hironori Tomobe, Kôiti Hasida...
ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
14 years 2 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 10 months ago
From user comments to on-line conversations
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that predicts the growth dynamics and structural pro...
Chunyan Wang, Mao Ye, Bernardo A. Huberman