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Titlebook: Web-Age Information Management; 14th International C Jianyong Wang,Hui Xiong,Junfeng Zhou Conference proceedings 2013 Springer-Verlag Berli

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發(fā)表于 2025-4-1 04:24:36 | 只看該作者
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發(fā)表于 2025-4-1 06:53:53 | 只看該作者
Human Dynamics Revealed through Log Analytics in a Cloud Computing Environmentnvironments, however, this important topic has yet to be carefully investigated. In this paper, we analyze 5-month logs detailing the access history to MeePo system that is a private cloud storage service deployed at Hefei University of Technology providing storage services to its college students.
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發(fā)表于 2025-4-2 00:37:49 | 只看該作者
A New Approach to Identify Influential Spreaders in Complex Networks Global metrics such as degree centrality, closeness centrality, betweenness centrality and K-shell centrality can be used to identify the influential spreaders. These approaches are simple but have low accuracy. We propose K-shell and Community centrality (KSC) model. This model considers not only
67#
發(fā)表于 2025-4-2 03:19:15 | 只看該作者
Imputation for Categorical Attributes with Probabilistic Reasoningn to ignoring or setting to default values, many imputation methods have been proposed, but all of them have their limitations. This paper proposes a probabilistic method to estimate missing values. We construct a Bayesian network in a novel way to identify the dependencies in a dataset, then use th
68#
發(fā)表于 2025-4-2 07:55:31 | 只看該作者
Presenting XML Schema Mapping with Conjunctive-Disjunctive Viewspresent XML mapping as correspondences between and constraints on tuples of elements. However, XML mappings involving hierarchical and heterogeneous data are often complex to present with this approach. In this paper, we propose a new approach named Conjunctive-Disjunctive View (CDV) for XML schema
69#
發(fā)表于 2025-4-2 13:32:27 | 只看該作者
70#
發(fā)表于 2025-4-2 16:20:50 | 只看該作者
An ETL Framework for Online Analytical Processing of Linked Open Datas Web resources. Since LOD data often contain numerical data, such as statistics, there is a growing demand to make OLAP (Online Analytical Processing) analysis over such data. To make it possible to apply off-the-shelf OLAP systems for analyzing LOD data, we propose a framework to streamline the Ex
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