Titlebook: Soft Methods for Data Science; Maria Brigida Ferraro,Paolo Giordani,Olgierd Hryni Conference proceedings 2017 Springer International Publi

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Conference proceedings 2017istics (SMPS 2016) held in Rome (Italy).. .The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visu

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Agglomerative Fuzzy Clustering,on by presenting a (hierarchical) agglomerative fuzzy clustering algorithm. We report experimental results on two well-known data sets on which we compare our method to classical hierarchical agglomerative clustering.

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A Generalized SMART Fuzzy Disjunction of Volatility Indicators Applied to Option Pricing in a Binomhe historical volatility, computed from the Index returns’ time series, and the VIX Index observed data are respectively considered as the direct and indirect sources of knowledge. A suitable distance among the resulting fuzzy option prices and the market bid-ask spread make us appreciate the proposed procedure against the classical fuzzy mean.

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Representing Lightweight Ontologies in a Product-Based Possibility Theory Framework,o a min-based possibilistic DL-Lite, query answering in a product-based possibility theory is a hard task. We provide equivalent transformations between the problem of computing an inconsistency degree (the key notion in reasoning from a possibilistic DL-Lite knowledge base) and the weighted maximum 2-Horn SAT problem.

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