Data source selection for approximate query
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-021-00760-y
Abstract: Exact query on big data is a challenging task due to the large numbers of autonomous data sources. In this paper, an efficient method is proposed to select sources on big data for approximate query.… read more here.
Keywords: data source; source selection; approximate query; query ... See more keywords
Weblogs: A Complex Data Source for Qualitative Research.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of cardiac failure"
DOI: 10.1016/j.cardfail.2017.08.453
Abstract: Background: Social media has allowed patients and families to document the chronic illness experience though first person narratives in the form of blogs. Blogs give insight in the experience through a first-person perspective. Blogs can… read more here.
Keywords: methodology; research; qualitative research; data source ... See more keywords
The effect of traffic data source on deterioration rates of heavy-duty flexible pavements
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Pavement Engineering"
DOI: 10.1080/10298436.2016.1240562
Abstract: Abstract The purpose of this study is to assess the effect of traffic data source (estimated vs. actual) on predicted progression rates of roughness and rutting for heavy-duty flexible pavements of rural freeways. Progression rates… read more here.
Keywords: traffic; deterioration; data source; heavy duty ... See more keywords
Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocaa258
Abstract: Abstract Objective The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source variability plays an important role.… read more here.
Keywords: machine learning; source variability; data source; variability ... See more keywords
RLSS: A Reinforcement Learning Scheme for HD Map Data Source Selection in Vehicular NDN
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3128636
Abstract: In the autonomous driving era, high-definition (HD) maps are an essential building block to enable fine-grained environmental perception, precise localization, and path planning. However, with rich multidimensional information, the size of HD map data is… read more here.
Keywords: source; map data; data source; source selection ... See more keywords
Bayesian Networks for Data Integration in the Absence of Foreign Keys
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2940019
Abstract: In the era of open data, a single data source rarely contains all of the attributes we need for inference in specific applications. For example, a marketing department may aim to integrate retailer-specific purchase data… read more here.
Keywords: absence foreign; data source; bayesian networks; foreign keys ... See more keywords