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» Extracting Landmarks with Data Mining Methods
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KDD
2007
ACM
201views Data Mining» more  KDD 2007»
14 years 8 months ago
Structural and temporal analysis of the blogosphere through community factorization
The blogosphere has unique structural and temporal properties since blogs are typically used as communication media among human individuals. In this paper, we propose a novel tech...
Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tate...
SDM
2009
SIAM
185views Data Mining» more  SDM 2009»
14 years 4 months ago
Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Bin Zhou 0002, Jian Pei, Yan Jia, Yi Han
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 8 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
ADC
2005
Springer
183views Database» more  ADC 2005»
14 years 1 months ago
Discovering User Access Pattern Based on Probabilistic Latent Factor Model
There has been an increased demand for characterizing user access patterns using web mining techniques since the informative knowledge extracted from web server log files can not ...
Guandong Xu, Yanchun Zhang, Jiangang Ma, Xiaofang ...
ASUNAM
2011
IEEE
12 years 7 months ago
Locating Central Actors in Co-offending Networks
—A co-offending network is a network of offenders who have committed crimes together. Recently different researches have shown that there is a fairly strong concept of network am...
Mohammad A. Tayebi, Laurens Bakker, Uwe Gläss...