Knowledge graphs
In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …
recently garnered significant attention from both industry and academia in scenarios that …
Data fusion approaches for structural health monitoring and system identification: Past, present, and future
RT Wu, MR Jahanshahi - Structural Health Monitoring, 2020 - journals.sagepub.com
During the past decades, significant efforts have been dedicated to develop reliable
methods in structural health monitoring. The health assessment for the target structure of …
methods in structural health monitoring. The health assessment for the target structure of …
[HTML][HTML] Data-driven modeling and learning in science and engineering
In the past, data in which science and engineering is based, was scarce and frequently
obtained by experiments proposed to verify a given hypothesis. Each experiment was able …
obtained by experiments proposed to verify a given hypothesis. Each experiment was able …
The role of quality and trust on using website news
M Simanjuntak, S Mansur, N Saragih… - … Journal of Data and …, 2022 - growingscience.com
This study is to analyze the influence of the quality of information on the decision to choose
CNNIndonesia. com media either directly or through the mediation of trust variables. The …
CNNIndonesia. com media either directly or through the mediation of trust variables. The …
Big data security and privacy
Recent technologies, such as IoT, social networks, cloud computing, and data analytics,
make today possible to collect huge amounts of data. However, for data to be used to their …
make today possible to collect huge amounts of data. However, for data to be used to their …
Context-aware data quality assessment for big data
Big data changed the way in which we collect and analyze data. In particular, the amount of
available information is constantly growing and organizations rely more and more on data …
available information is constantly growing and organizations rely more and more on data …
The internet-of-things meets business process management: mutual benefits and challenges
The Internet of Things (IoT) refers to a network of connected devices collecting and
exchanging data over the Internet. These things can be artificial or natural, and interact as …
exchanging data over the Internet. These things can be artificial or natural, and interact as …
The internet of things meets business process management: a manifesto
The Internet of Things (IoT) refers to a network of connected devices that collects and
exchanges data through the Internet. These things can be artificial or natural and interact as …
exchanges data through the Internet. These things can be artificial or natural and interact as …
Knowledge-driven data ecosystems toward data transparency
A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables
the interaction of different stakeholders and the resolution of interoperability issues among …
the interaction of different stakeholders and the resolution of interoperability issues among …
Quality-informed semi-automated event log generation for process mining
Process mining, as with any form of data analysis, relies heavily on the quality of input data
to generate accurate and reliable results. A fit-for-purpose event log nearly always requires …
to generate accurate and reliable results. A fit-for-purpose event log nearly always requires …