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Titlebook: Database and Expert Systems Applications; 25th International C Hendrik Decker,Lenka Lhotská,Roland R. Wagner Conference proceedings 2014 Sp

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Colm Lanigan,Jose Ponte,John Moxhamcores are subsequently combined and weighed into a total risk score that indicates whether a legal person is likely to commit fraud based on all risk indicators. This contribution reports on our two ranking approaches: one based on the empirical probabilities of the indicators and the other based on
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Mikhail Z. Zgurovsky,Victor A. Sadovnichiy correlated stocks for an interesting event in the financial system. We apply this framework to two real data sets to demonstrate its advantages compared with the Principal Component Analysis (PCA) based method [16] and the naive local Pearson implementation.
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Continuous and Distributed Systemsgth among the users for each topic. Experimental results on two real world datasets demonstrate the effectiveness of our method. Further, we show that the proposed topic-level influence network can improve the precision of user behavior prediction and is useful for influence maximization.
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An Improved Method for Efficient PageRank Estimation
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0302-9743 Systems Applications, DEXA 2014, held in Munich, Germany, September 1-4, 2014. The 37 revised full papers presented together with 46 short papers, and 2 keynote talks, were carefully reviewed and selected from 159 submissions. The papers discuss a range of topics including: data quality; social web
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Named Entity Oriented Related News Ranking proposed by Ogawa et al. and extract descriptions of named entities in articles. Then, four ranking measures (.) are calculated by analyzing the presence or absence of named entities, the coverage of topics and the polarity of descriptions. We carry out user study and experiments to validate our methods.
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