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IVS
2008
139views more  IVS 2008»
15 years 5 months ago
DataMeadow: a visual canvas for analysis of large-scale multivariate data
Supporting visual analytics of multiple large-scale multidimensional datasets requires a high degree of interactivity and user control beyond the conventional challenges of visual...
Niklas Elmqvist, John T. Stasko, Philippas Tsigas
DMKD
2004
ACM
115views Data Mining» more  DMKD 2004»
15 years 11 months ago
Privacy-preserving data integration and sharing
Integrating data from multiple sources has been a longstanding challenge in the database community. Techniques such as privacy-preserving data mining promises privacy, but assume ...
Chris Clifton, Murat Kantarcioglu, AnHai Doan, Gun...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 7 months ago
Unsupervised feature selection for linked social media data
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for e...
Jiliang Tang, Huan Liu
ICC
2009
IEEE
132views Communications» more  ICC 2009»
16 years 4 days ago
Preprocessing DNS Log Data for Effective Data Mining
—The Domain Name Service (DNS) provides a critical function in directing Internet traffic. Defending DNS servers from bandwidth attacks is assisted by the ability to effectively...
Mark E. Snyder, Ravi Sundaram, Mayur Thakur
CIDM
2007
IEEE
15 years 11 months ago
Scalable Clustering for Large High-Dimensional Data Based on Data Summarization
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...