Results 11 to 20 of about 21,934,771 (354)

Data mining in clinical big data: the frequently used databases, steps, and methodological models

open access: yesMilitary Medical Research, 2021
Many high quality studies have emerged from public databases, such as Surveillance, Epidemiology, and End Results (SEER), National Health and Nutrition Examination Survey (NHANES), The Cancer Genome Atlas (TCGA), and Medical Information Mart for ...
Wen-Tao Wu   +6 more
semanticscholar   +1 more source

CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories

open access: yesIEEE Transactions on Knowledge and Data Engineering, 2021
CRISP-DM(CRoss-Industry Standard Process for Data Mining) has its origins in the second half of the nineties and is thus about two decades old. According to many surveys and user polls it is still the de facto standard for developing data mining and ...
Fernando Martínez-Plumed   +7 more
semanticscholar   +1 more source

A Scheme for Quickly Simulating Extraterrestrial Solar Radiation over Complex Terrain on a Large Spatial-Temporal Span—A Case Study over the Entirety of China

open access: yesRemote Sensing, 2022
Extraterrestrial solar radiation (ESR) is the essential basic background for solar radiation, which determines the occurrence of the weather and atmospheric phenomena.
Siwei Lin   +4 more
doaj   +1 more source

Learning Data Mining [PDF]

open access: yes2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 2018
In the last decade the usage and study of data mining and machine learning algorithms have received an increasing attention from several and heterogeneous fields of research. Learning how and why a certain algorithm returns a particular result, and understanding which are the main problems connected to its execution is a hot topic in the education of ...
Guidotti R., Monreale A., Rinzivillo S.
openaire   +4 more sources

Semi-Supervised Learning Based on Generative Adversarial Network and Its Applied to Lithology Recognition

open access: yesIEEE Access, 2019
Lithology recognition is an essential part of reservoir parameter prediction. Compared to conventional algorithms, deep learning that needs a large amount of training data as support can extract features automatically.
Guohe Li   +4 more
doaj   +1 more source

Fine Classification of UAV Urban Nighttime Light Images Based on Object-Oriented Approach

open access: yesSensors, 2023
Fine classification of urban nighttime lighting is a key prerequisite step for small-scale nighttime urban research. In order to fill the gap of high-resolution urban nighttime light image classification and recognition research, this paper is based on a
Daoquan Zhang   +3 more
doaj   +1 more source

Data, text and web mining for business intelligence: a survey [PDF]

open access: yesInternational Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.3, No.2, March 2013, 2013
The Information and Communication Technologies revolution brought a digital world with huge amounts of data available. Enterprises use mining technologies to search vast amounts of data for vital insight and knowledge. Mining tools such as data mining, text mining, and web mining are used to find hidden knowledge in large databases or the Internet.
arxiv   +1 more source

Immersive cultural heritage digital documentation and information service for historical figure metaverse: a case of Zhu Xi, Song Dynasty, China

open access: yesHeritage Science, 2022
Cultural heritage is closely linked with individual historical figures, who become a key focus for cultural tourism. Confucianism laid the foundation for much of Chinese civilization, and Confucius and Mencius have been studied extensively and have been ...
Zhanling Fan   +2 more
doaj   +1 more source

Prediction of Inbound and Outbound Passenger Flow in Urban Rail Transit Based on Spatio-Temporal Attention Residual Network

open access: yesApplied Sciences, 2023
Passenger flow prediction is a critical approach to ensure the effective functioning of urban rail transit. However, there are few studies that combine multiple influencing factors for short-term passenger flow prediction.
Jun Yang   +5 more
doaj   +1 more source

Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks

open access: yesJournal of Intelligent Systems, 2020
The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene.
Zhu Liping   +4 more
doaj   +1 more source

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