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Titlebook: Web Information Systems Engineering -- WISE 2014; 15th International C Boualem Benatallah,Azer Bestavros,Yanchun Zhang Conference proceedin

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Topical Pattern Based Document Modelling and Relevance Ranking reality users’ interests can be diverse and the documents in the collection often involve multiple topics. Topic modelling was proposed to generate statistical models to represent multiple topics in a collection of documents, but in a topic model, topics are represented by distributions over words
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Topical Pattern Based Document Modelling and Relevance Ranking reality users’ interests can be diverse and the documents in the collection often involve multiple topics. Topic modelling was proposed to generate statistical models to represent multiple topics in a collection of documents, but in a topic model, topics are represented by distributions over words
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A Decremental Search Approach for Large Scale Dynamic Ridesharing, which holds the potential to gain significant economical, environmental, and social benefits particularly in metropolitan areas. Despite the recent advances in this area, many challenges still remain. In particular, handling large-scale incomplete data has not been adequately addressed by previous
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Model-Based Search and Ranking of Web APIs across Multiple Repositoriesormed based on features used to describe APIs, or according to the co-occurrence of Web APIs in the same applications, or they can be driven through ratings assigned by designers who used the Web APIs for their own mashups. Nevertheless, different Web API repositories usually focus on a subset of th
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Model-Based Search and Ranking of Web APIs across Multiple Repositoriesormed based on features used to describe APIs, or according to the co-occurrence of Web APIs in the same applications, or they can be driven through ratings assigned by designers who used the Web APIs for their own mashups. Nevertheless, different Web API repositories usually focus on a subset of th
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Common Neighbor Query-Friendly Triangulation-Based Large-Scale Graph Compressione graphs, named as ., is introduced in this paper. It differs itself from other graph compression methods in that: 1) it can achieve both good compression ratio and low compression time. 2) The compression ratio can be controlled by users, so that compression ratio and processing performance can be
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Continuous Monitoring of Top-, Dominating Queries over Uncertain Data Streamsssed in a streaming manner. We first formally define the problem of continuous probabilistic top-. dominating (.) query processing over uncertain data streams based on a count-based sliding window model. Based on the observation that . does not change dramatically in consequent sliding window and mo
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