Uncertainty Modeling

<div>Preface.- MapReduce: From Elementary Circuits to Cloud.- On the Helmholtz Principle for Data Mining.- A method of introducing weights into OWA operators and other symmetric functions.- Uncertainty Management: Probability, Possibility, Entropy, and Other Paradigms- Relationships between fuzziness, partial truth and probability in the case of repetitive events.- Using extended tree kernels to recognize metalanguage in text.- Relationships between Probability and Possibility Theories.- Modeling extremal events is not easy: why the Extreme Value Theorem cannot be as general as the Central Limit Theorem.- Information quality and uncertainty.- Applying anomalous cluster approach to spatial clustering.- Why is linear quantile regression empirically successful: a possible explanation.- A Rapid Soft Computing Approach to Dimensionality Reduction in Model Construction.- Physics Of The Mind, Dynamic Logic, and Monotone Boolean Functions.- Fuzzy arithmetic type 1 without extension principle and vertical membership functions.- Copula as a bridge between probability theory and fuzzy logic.- Note to the polemics surrounding the second Goedel's theorem.- Ontological Data Mining.</div>