Knowledge Engineering and Data Mining
Material type:
TextLanguage: English Publication details: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023Description: 1 online resource (308 p.)Content type: - text
- computer
- online resource
- 9783036567884
- 9783036567891
- books978-3-0365-6789-1
- Information technology industries
- AHP
- ANP
- artificial intelligence
- artificial neural network
- cash loans
- Chinese medical text
- classification
- clinical named entity recognition
- computer-aided design (CAD)
- computing-intensive data
- credit scoring
- database design
- decision model
- deep learning
- differential evolution
- discretization
- drug-drug interaction
- dynamic programming
- educational data mining
- engineering
- engineering education
- evaluation feature selection
- evaluation model
- facial profile
- feature selection
- formal ontologies
- gamma correction
- geospatial data
- graph convolutional network
- graph databases
- healthcare
- information extraction
- knowledge acquisition
- knowledge acquisition from text
- knowledge base
- knowledge management
- knowledge mining
- knowledge representation
- landmark detection
- loop nest tiling
- machine learning
- MADM
- matrix factorization
- MCDA
- MCDM
- metaheuristic
- mobile networks
- MODM
- multicriteria
- n/a
- offshore wave
- online and hybrid learning environments
- ontology
- ontology population
- OpenMP C/C++
- parallel code
- pre-trained model
- prediction
- PROMETHEE
- psychosocial education
- random forest
- rank aggregation
- reasoning
- recommendation systems
- regression
- resampling
- rule mining
- self-attention
- social media analytics
- soft tissue
- software
- supervised learning
- support vector machine
- sustainable supplier selection
- systematic review
- TOPSIS
- UAV smoke show
- unmanned aerial vehicle
- VIKOR
- wind speed
- X-ray images
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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 topics including data mining methods, multidimensional data analysis, supervised and unsupervised learning methods, methods of knowledge-based management, language ontologies, ontology learning, and others.
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