Titlebook: Discovery Science; 14th International C Tapio Elomaa,Jaakko Hollmén,Heikki Mannila Conference proceedings 2011 Springer-Verlag GmbH Berlin

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Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model,ct that some people have a tendency to disagree with any opinion expressed by the majority. We extend the value-weighted voter model to include this phenomenon with the anti-majoritarian tendency of each node as a new parameter, and learn this parameter as well as the value of each opinion from a se

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Using Ontologies in Semantic Data Mining with SEGS and g-SEGS,to the data, the amount of semantic data is rapidly growing. The data mining community is faced with a paradigm shift: instead of mining the abundance of empirical data supported by the background knowledge, the new challenge is to mine the abundance of knowledge encoded in domain ontologies, constr

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Network Effects on Tweeting,nformation exchange than Twitter.com. In this paper, we study large-scale graph properties and lesser-studied local graph structures of the explicit social network and the implicit retweet network in order to better understand the relationship between socialization and tweeting behaviors. In particu

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Frontiers in African Business Researchpt to remove unwanted rank equalities. Through experiments we show that . produces ranking functions having predictive performance comparable to that of a state-of-the-art instance ranking algorithm. This makes . a valuable alternative when monotonicity is desired or mandatory.

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C. Santano,M. Pérez de Lara,J. Pintormber of communities and topics automatically, Hierarchical/Dirichlet Process Mixture model (H/DPM) is employed. Gibbs sampling based approach is adopted to learn the model parameters. Experiments are conducted on the co-author network extracted from DBLP where each author is associated with his/her

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Die Siebenbürger Sachsen und Österreiche this problem we incorporate external contextual information (e.g. time of the day) into route recognition from trajectory. We develop a technique to determine from the historical data how the probability of a route depends on contextual features and adjust (post-correct) the route recognition outp