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...
Bewaard in:
Andere auteurs: | , |
---|---|
Formaat: | Elektronisch Hoofdstuk |
Taal: | Engels |
Gepubliceerd in: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
|
Onderwerpen: | |
Online toegang: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|
MARC
LEADER | 00000naaaa2200000uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_98891 | ||
005 | 20230405 | ||
003 | oapen | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20230405s2023 xx |||||o ||| 0|eng d | ||
020 | |a books978-3-0365-6789-1 | ||
020 | |a 9783036567884 | ||
020 | |a 9783036567891 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.3390/books978-3-0365-6789-1 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a KNTX |2 bicssc | |
100 | 1 | |a Konys, Agnieszka |4 edt | |
700 | 1 | |a Nowak-Brzezińska, Agnieszka |4 edt | |
700 | 1 | |a Konys, Agnieszka |4 oth | |
700 | 1 | |a Nowak-Brzezińska, Agnieszka |4 oth | |
245 | 1 | 0 | |a Knowledge Engineering and Data Mining |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 electronic resource (308 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a 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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Information technology industries |2 bicssc | |
653 | |a computing-intensive data | ||
653 | |a dynamic programming | ||
653 | |a loop nest tiling | ||
653 | |a parallel code | ||
653 | |a OpenMP C/C++ | ||
653 | |a credit scoring | ||
653 | |a cash loans | ||
653 | |a machine learning | ||
653 | |a decision model | ||
653 | |a classification | ||
653 | |a feature selection | ||
653 | |a resampling | ||
653 | |a discretization | ||
653 | |a knowledge representation | ||
653 | |a formal ontologies | ||
653 | |a graph databases | ||
653 | |a evaluation feature selection | ||
653 | |a evaluation model | ||
653 | |a psychosocial education | ||
653 | |a recommendation systems | ||
653 | |a rank aggregation | ||
653 | |a differential evolution | ||
653 | |a supervised learning | ||
653 | |a matrix factorization | ||
653 | |a metaheuristic | ||
653 | |a clinical named entity recognition | ||
653 | |a Chinese medical text | ||
653 | |a pre-trained model | ||
653 | |a systematic review | ||
653 | |a multicriteria | ||
653 | |a MCDA | ||
653 | |a MCDM | ||
653 | |a MADM | ||
653 | |a MODM | ||
653 | |a AHP | ||
653 | |a TOPSIS | ||
653 | |a VIKOR | ||
653 | |a PROMETHEE | ||
653 | |a ANP | ||
653 | |a computer-aided design (CAD) | ||
653 | |a educational data mining | ||
653 | |a engineering education | ||
653 | |a online and hybrid learning environments | ||
653 | |a social media analytics | ||
653 | |a soft tissue | ||
653 | |a gamma correction | ||
653 | |a landmark detection | ||
653 | |a X-ray images | ||
653 | |a facial profile | ||
653 | |a prediction | ||
653 | |a artificial neural network | ||
653 | |a support vector machine | ||
653 | |a random forest | ||
653 | |a regression | ||
653 | |a offshore wave | ||
653 | |a wind speed | ||
653 | |a unmanned aerial vehicle | ||
653 | |a UAV smoke show | ||
653 | |a mobile networks | ||
653 | |a artificial intelligence | ||
653 | |a healthcare | ||
653 | |a database design | ||
653 | |a geospatial data | ||
653 | |a software | ||
653 | |a knowledge management | ||
653 | |a reasoning | ||
653 | |a information extraction | ||
653 | |a rule mining | ||
653 | |a knowledge acquisition | ||
653 | |a engineering | ||
653 | |a ontology | ||
653 | |a knowledge base | ||
653 | |a sustainable supplier selection | ||
653 | |a ontology population | ||
653 | |a knowledge acquisition from text | ||
653 | |a knowledge mining | ||
653 | |a drug-drug interaction | ||
653 | |a graph convolutional network | ||
653 | |a self-attention | ||
653 | |a deep learning | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/6944 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/98891 |7 0 |z DOAB: description of the publication |