Titlebook: Data Warehousing and Knowledge Discovery; 16th International C Ladjel Bellatreche,Mukesh K. Mohania Conference proceedings 2014 The Editor(

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書目名稱Data Warehousing and Knowledge Discovery影響因子(影響力)




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書目名稱Data Warehousing and Knowledge Discovery讀者反饋學(xué)科排名

萬神殿

Discovering Community Preference Influence Network by Social Network Opinion Posts Mininghrough opinion mining of friendship networks. OBIN mines opinions using extended OpinionMiner that considers multiple posts and relationships (influences) between users. Approach used includes frequent pattern mining algorithm for determining community (positive or negative) preferences for a given

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Computer Assisted Orthopedic Surgeryithms use simple safe and correct strategies, but are not optimal in the sense that they maximize the join service rate. In this paper we analyze strategies for selecting an appropriate lookup element, particularly for skewed stream data. We show that a good selection strategy can improve the perfor

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萬花筒

清真寺

Comparison of the Iterative Methods,tation of formulas an extended drill-down operator is defined, which is capable to expand an indicator into its components, enabling a novel mode of data exploration. Effectiveness and efficiency are briefly discussed on a prototype introduced as a proof-of concept.

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Ashish Sharma,Ambuja Salgaonkar . the user has a spectrum of options according to his . on . and .. Accordingly, the mined preference model is ., in the sense that it is capable to predict, given two new objects u and v, the degree of preference the user would assign to these objects. The efficiency of FuzzyPrefMiner is analysed through a series of experiments on real datasets.