Titlebook: Data Quality and Trust in Big Data; 5th International Wo Hakim Hacid,Quan Z. Sheng,Rui Zhou Conference proceedings 2019 Springer Nature Swi

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Delone and McLean IS Success Model for Evaluating Knowledge Sharing,rm’s Knowledge Management (KM) Strategy. Despite the growing significance of KS for organization’s competitiveness and performance, analyzing the level of KS make it difficult for KM to achieve the optimum level of KS. Because of these causes, this study attempts to develop a conceptual model based

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978-3-030-19142-9Springer Nature Switzerland AG 2019

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Comparing Postcolonial Literaturesf the stored data, e.g., it may lead to inconsistencies and anomalies at the data-level. Even if the initial schema had an ideal design, changes during the life cycle can negatively affect the schema quality and have to be tackled. Especially in Big Data environments there are two major challenges:

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Transitional Justice: A Likely Storyignificantly benefit content summary and opinion leader recognition. However, previous studies only focus on the importance evaluation methods regarding personal emails, and there is no consensus on the definition of important emails. Therefore, in this paper we consider the characteristics of maili

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Leonardo Augusto de Andrade Barbosaken into account in most of the existing trust prediction approaches in Online Social Networks (OSNs). In addition, very few attempts have been made on trust prediction based on social psychology theories. For decades, social psychology theories have attempted to explain people’s behaviors in social

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Studies in the History of Law and Justice of the most challenging problems in these systems is the data sparsity problem, i.e., lack of sufficient amount of available users’ interactions data. Recently, cross-network recommender systems with the idea of integrating users’ activities from multiple domain were presented as a successful solut