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» Modeling Relational Data as Graphs for Mining
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HUC
2007
Springer
15 years 11 months ago
Yours, Mine and Ours? Sharing and Use of Technology in Domestic Environments
Domestic technologies have been a popular area of study for ubiquitous computing researchers, however there is relatively little recent data on how families currently use and share...
A. J. Bernheim Brush, Kori M. Inkpen
SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
16 years 4 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
CIKM
2006
Springer
15 years 8 months ago
On the structural properties of massive telecom call graphs: findings and implications
With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customers. Toward ...
Amit Anil Nanavati, Siva Gurumurthy, Gautam Das, D...
FLAIRS
2008
15 years 7 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
145
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SADM
2010
141views more  SADM 2010»
14 years 11 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman