Knowledge Engineering and Data Mining

Knowledge engineering and data mining are fundamental topics in the area of artificial intelligence and knowledge-based systems. This Special Issue covers the entire knowledge engineering pipeline: from data acquisition and data mining to knowledge extraction and exploitation. The reader will find t...

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Bibliographic Details
Format:	Online
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	computing-intensive data dynamic programming loop nest tiling parallel code OpenMP C/C++ credit scoring cash loans machine learning decision model classification feature selection resampling discretization knowledge representation formal ontologies graph databases evaluation feature selection evaluation model psychosocial education recommendation systems rank aggregation differential evolution supervised learning matrix factorization metaheuristic clinical named entity recognition Chinese medical text pre-trained model systematic review multicriteria MCDA MCDM MADM MODM AHP TOPSIS VIKOR PROMETHEE ANP computer-aided design (CAD) educational data mining engineering education online and hybrid learning environments social media analytics soft tissue gamma correction landmark detection X-ray images facial profile prediction artificial neural network support vector machine random forest regression offshore wave wind speed unmanned aerial vehicle UAV smoke show mobile networks artificial intelligence healthcare database design geospatial data software knowledge management reasoning information extraction rule mining knowledge acquisition engineering ontology knowledge base sustainable supplier selection ontology population knowledge acquisition from text knowledge mining drug–drug interaction graph convolutional network self-attention deep learning n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Online Access:	ONIX_20230405_9783036567884_170
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