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Titlebook: Advanced Data Mining and Applications; 6th International Co Longbing Cao,Yong Feng,Jiang Zhong Conference proceedings 2010 Springer Berlin

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978-3-642-17315-8Springer Berlin Heidelberg 2010
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Advanced Data Mining and Applications978-3-642-17316-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Philosophical Scruples: Their Cause and Cureass distributions and impacts by quantifying and tackling the unbalance. Rooted in diagnosis data analysis applications, there are great many techniques developed for cost-sensitive learning. They are mainly focused on minimizing the total cost of misclassification costs, test costs, or other types
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Berkeley’s Renovation of Philosophyosed based on possibilistic and fuzzy sets theory. Firstly, a similarity measure method of access paths is proposed based on differences between paths’ factors, such as the length of time spent on visiting a page, the frequency of a page accessed and the order of pages accessed. Furthermore, conside
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https://doi.org/10.1007/978-94-011-8872-2positionalization method that transforms a learning dataset into an approximative representation in the form of boolean tables, from which to construct a set of candidate clauses according to a ..-test. To compute and choose clauses, we successively use two different optimization criteria, namely ps
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Berkovich Spaces and Applicationsinties could be modelled using probabilistic databases, and give possible-worlds semantics for both. We then describe ”interestingness” criteria based on two notions of frequentness (previously studied for frequent itemset mining) namely . [C. Aggarwal et al. KDD’09;Chui et al., PAKDD’07,’08] and .
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