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Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods
Detecting Events Patterns Large-Scale User Generated Textual Streams Statistical Learning Methods
2012/9/18
A vast amount of textual web streams is influenced by events or phenomena emerging in the real world. The social web forms an excellent modern paradigm, where unstructured user generated content is pu...
Outlier Detection in Contingency Tables based on Minimal Patterns
Robust estimators Loglinear models Minimal patterns.
2012/9/19
In this paper we introduce a new technique for the detection of outliers in contingency tables. Outliers are defined with respect to classical loglinear
Poisson models. For the computations, we defin...
Generalized wordlength patterns and strength
Fractional factorial design group character Hamming weight multiset orthogonal array strength
2012/9/19
Xu and Wu (2001) defined thegeneralized wordlength pattern(A1,...,Ak) of an arbi-trary fractional factorial design (or orthogonal array) on kfactors. They gave a coding-theoretic proof of the property...
Behavior patterns of online users and the effect on information filtering
bipartite networks reshuffling process information filtering
2011/7/19
Understanding the structure and evolution of web-based user-object bipartite networks is an important task since they play a fundamental role in online information filtering. In this paper, we focus o...
Outliers and patterns of outliers in contingency tables with Algebraic Statistics
Algebraic Statistics goodness-of-fi t tests log-linear mod-els toric models
2011/3/18
In this paper we provide a definition of pattern of outliers in contingency tables within a model-based framework. In particular, we make use of log-linear models and exact goodness-of-fit tests to sp...