Titlebook: Database and Expert Systems Applications; 29th International C Sven Hartmann,Hui Ma,Roland R. Wagner Conference proceedings 2018 Springer N

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Leveraging Data Relationships to Resolve Conflicts from Disparate Data Sources information providers. State-of-the-art data fusion systems largely consider claims for a data item to be unrelated to each other. In many domains, however, the observed claims are often related to each other through various entity-relationships. We propose a formalism to express entity-relationshi

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OLAP Queries Context-Aware Recommender Systemtical processing analysis, recommender systems are developed. However some recommendations can be inappropriate (irrelevant queries or non-computable queries). To overcome these mismatches, we propose to integrate contextual data into the recommender system. In this paper, we provide (i) an indicato

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FairGRecs: Fair Group Recommendations by Exploiting Personal Health Informationers have to inform themselves online about health problems and possible treatments. Specifically, FairGRecs introduces a model for group recommendations, incorporating the notion of fairness. For computing similarities between users, we define a novel measure that is based on the semantic distance b

新奇

Big Log Data Stream Processing: Adapting an Anomaly Detection Techniquee huge amount of data and to discover security incidents in real-time, analyses of log data streams are required. However, most of the log anomaly detection techniques fall short in considering continuous data processing. Thus, this paper aligns an anomaly detection technique for data stream process

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Information Filtering Method for Twitter Streaming Data Using Human-in-the-Loop Machine Learningely filter the texts in the streams, we can obtain useful information in real time. In a keyword-based approach, filters are constructed using keywords, but selecting the appropriate keywords to include is often difficult. In this work, we propose a method for filtering texts that are related to spe

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