Knowledge discovery and semantic learning in the framework of axiomatic fuzzy set theory
Sign Up to like & getrecommendations! Published in 2018 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1268
Abstract: Axiomatic fuzzy set (AFS) theory facilitates a way on how to transform data into fuzzy sets (membership functions) and implement their fuzzy logic operations, which provides a flexible and powerful tool for representing human knowledge… read more here.
Keywords: knowledge; axiomatic fuzzy; knowledge discovery; afs theory ... See more keywords
Knowledge Discovery on IoT-Enabled mHealth Applications.
Sign Up to like & getrecommendations! Published in 2020 at "Advances in experimental medicine and biology"
DOI: 10.1007/978-3-030-32622-7_16
Abstract: The exponential growth of the number and variety of IoT devices and applications for personal use, as well as the improvement of their quality and performance, facilitates the realization of intelligent eHealth concepts. Nowadays, it… read more here.
Keywords: iot; iot enabled; mhealth applications; enabled mhealth ... See more keywords
Special Issue Editorial: Cognitively-Inspired Computing for Knowledge Discovery
Sign Up to like & getrecommendations! Published in 2017 at "Cognitive Computation"
DOI: 10.1007/s12559-017-9532-y
Abstract: Knowledge discovery is an emerging topic in many domains addressing a variety of methodologies for extracting useful knowledge from data. In an era of explosive data growth, together with wide-spreading powerful distributive and parallel computing,… read more here.
Keywords: knowledge; editorial cognitively; knowledge discovery; special issue ... See more keywords
Universal knowledge discovery from big data using combined dual-cycle
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-015-0376-z
Abstract: Many people hold a vision that big data will provide big insights and have a big impact in the future. However, how to turn big data into deep insights with tremendous value still remains obscure.… read more here.
Keywords: cycle; big data; universal knowledge; knowledge discovery ... See more keywords
Knowledge discovery in open data for epidemic disease prediction
Sign Up to like & getrecommendations! Published in 2021 at "Health policy and technology"
DOI: 10.1016/j.hlpt.2021.01.001
Abstract: Abstract Objective The research reveals the determinants associated with the epidemic diseases (dengue, influenza, and enterovirus) in Taiwan. It demonstrates the value of open data in prediction model development to support policymaking in the domain… read more here.
Keywords: epidemic diseases; open data; google trends; prediction ... See more keywords
Knowledge discovery using an enhanced latent Dirichlet allocation-based clustering method for solving on-site assembly problems
Sign Up to like & getrecommendations! Published in 2022 at "Robotics and Computer-integrated Manufacturing"
DOI: 10.1016/j.rcim.2021.102246
Abstract: Abstract Prompt responses to problems/faults arising in an assembly workshop are crucial in terms of production reliability and efficiency. However, human-dependent tasks are time-consuming and prone to error. In this paper, we propose a knowledge… read more here.
Keywords: latent dirichlet; assembly problems; dirichlet allocation; enhanced latent ... See more keywords
Clustering of COVID-19 data for knowledge discovery using c-means and fuzzy c-means
Sign Up to like & getrecommendations! Published in 2021 at "Results in Physics"
DOI: 10.1016/j.rinp.2021.104639
Abstract: In this work, the partitioning clustering of COVID-19 data using c-Means (cM) and Fuzy c-Means (Fc-M) algorithms is carried out. Based on the data available from January 2020 with respect to location, i.e., longitude and… read more here.
Keywords: using means; covid data; data knowledge; clustering covid ... See more keywords
Knowledge discovery of indoor environment patterns in mild climate countries based on data mining applied to in-situ measurements
Sign Up to like & getrecommendations! Published in 2017 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2017.01.007
Abstract: Abstract Temperature and relative humidity values, from a sample of 24 flats with homogeneous architectural features and social strata, were continuously measured during the heating season and a typical summer period. The results proved the… read more here.
Keywords: data mining; mining; discovery indoor; knowledge discovery ... See more keywords
Grouting knowledge discovery based on data mining
Sign Up to like & getrecommendations! Published in 2020 at "Tunnelling and Underground Space Technology"
DOI: 10.1016/j.tust.2019.103093
Abstract: Abstract The existence of highly complex and heterogeneous geological and hydrogeological conditions makes it cumbersome to determine grouting parameters for a cost-efficient grouting process. Although many empirical, numerical and analytical models have been proposed previously,… read more here.
Keywords: data mining; knowledge; hydrogeological conditions; grout take ... See more keywords
A knowledge discovery framework to predict the N2O emissions in the wastewater sector.
Sign Up to like & getrecommendations! Published in 2020 at "Water research"
DOI: 10.1016/j.watres.2020.115799
Abstract: Data Analytics is being deployed to predict the dissolved nitrous oxide (N2O) concentration in a full-scale sidestream sequence batch reactor (SBR) treating the anaerobic supernatant. On average, the N2O emissions are equal to 7.6% of… read more here.
Keywords: dissolved n2o; n2o concentration; n2o emissions; knowledge discovery ... See more keywords
Accelerated knowledge discovery from omics data by optimal experimental design
Sign Up to like & getrecommendations! Published in 2020 at "Nature Communications"
DOI: 10.1038/s41467-020-18785-y
Abstract: How to design experiments that accelerate knowledge discovery on complex biological landscapes remains a tantalizing question. We present an optimal experimental design method (coined OPEX) to identify informative omics experiments using machine learning models for… read more here.
Keywords: experimental design; omics data; optimal experimental; knowledge discovery ... See more keywords