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» Modeling skew in data streams
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WWW
2008
ACM
14 years 8 months ago
Collaborative filtering on skewed datasets
Many real life datasets have skewed distributions of events when the probability of observing few events far exceeds the others. In this paper, we observed that in skewed datasets...
Somnath Banerjee, Krishnan Ramanathan
PODS
2006
ACM
122views Database» more  PODS 2006»
14 years 7 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
DICTA
2009
13 years 8 months ago
Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data
In many applied problems in the context of pattern recognition, the data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional compone...
Kui Wang, Shu-Kay Ng, Geoffrey J. McLachlan
CORR
2012
Springer
171views Education» more  CORR 2012»
12 years 3 months ago
Discovering causal structures in binary exclusive-or skew acyclic models
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to disco...
Takanori Inazumi, Takashi Washio, Shohei Shimizu, ...
PODS
2004
ACM
147views Database» more  PODS 2004»
14 years 7 months ago
Flexible Time Management in Data Stream Systems
Continuous queries in a Data Stream Management System (DSMS) rely on time as a basis for windows on streams and for defining a consistent semantics for multiple streams and updata...
Utkarsh Srivastava, Jennifer Widom