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» Data and Structural k-Anonymity in Social Networks
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77
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KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 4 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
ICDM
2009
IEEE
202views Data Mining» more  ICDM 2009»
14 years 7 months ago
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations
Abstract--The data in many disciplines such as social networks, web analysis, etc. is link-based, and the link structure can be exploited for many different data mining tasks. In t...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
CIKM
2009
Springer
15 years 4 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
15 years 10 months ago
Looking for Great Ideas: Analyzing the Innovation Jam
We discuss the Innovation Jam that IBM carried out in 2006, with the objective of identifying innovative and promising "Big Ideas" through a moderated on-line discussion...
Wojciech Gryc, Mary E. Helander, Richard D. Lawren...
94
Voted
JCDL
2010
ACM
187views Education» more  JCDL 2010»
14 years 11 months ago
Social network document ranking
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...
Liang Gou, Xiaolong Zhang, Hung-Hsuan Chen, Jung-H...