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LEAPME: learning-based property matching with embeddings
(Elsevier, 2022)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities from many sources. Matching and fusion of such entities require to also match and combine their ...
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Limiting Global Warming by Improving Data-Centre Software
(IEEE Computer Society, 2020)
Carbon emissions, greenhouse gases and pollution in general are usually related to traditional factories, so the most modern computing factories have gone unnoticed for the general-public opinion. We empirically show through ...
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Modeling Variability in the Performance Perspective of Business Processes
(IEEE Computer Society, 2021)
The modeling and management of business processes often leads to the definition of several variants of the same process. This variability can be reflected in different process perspectives such as control-flow, data, ...
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Metamorphic Testing: Testing the Untestable
(IEEE Computer Society, 2020)
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A study of subgroup discovery approaches for defect prediction
(Elsevier, 2013)
Context: Although many papers have been published on software defect prediction techniques, machine learning approaches have yet to be fully explored. Objective: In this paper we suggest using a descriptive approach for ...
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Online motion recognition using an accelerometer in a mobile device
(ScienceDirect, 2012-02)
This paper introduces a new method to implement a motion recognition process using a mobile phone fitted with an accelerometer. The data collected from the accelerometer are interpreted by means of astatistical study and ...
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User recommendations for the optimized execution of business processes
(Elsevier, 2013)
In order to be able to flexibly adjust a company's business processes (BPs) there is an increasing interest in flexible process-aware information systems (PAISs). This increasing flexibility, however, typically implies ...
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A domain-specific language for the specification of UCON policies
(Elsevier, 2022)
Security policies constrain the behavior of all users of an information system. In any non-trivial system, these security policies go beyond simple access control rules and must cover more complex and dynamic scenarios while ...
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On validating web information extraction proposals
(Elsevier, 2022)
Many people who have to make informed decisions in today’s always-on culture use information extractors to feed their systems with information that comes from human-friendly documents. Unfortunately, many proposals that ...
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PHILNet: A novel efficient approach for time series forecasting using deep learning
(ScienceDirect, 2023)
Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior can be useful in planning ahead, saving time, resources, and helping avoid undesired scenarios. ...