Výsledky vyhľadávania - Data mining methods and algorithms

Evaluation of attitudes of university students towards artificial intelligence using data mining methods.

Autori: Sulak SA; Ahmet Kelesoglu Educational Faculty, Necmettin Erbakan University, Konya, Türkiye. sulak@erbakan.edu.tr.

Zdroj: Scientific reports [Sci Rep] 2025 Nov 25; Vol. 15 (1), pp. 41941. Date of Electronic Publication: 2025 Nov 25.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Výrazy zo slovníka MeSH: Artificial Intelligence* , Data Mining*/methods , Students*/psychology , Attitude*, Humans ; Universities ; Female ; Male ; Young Adult ; Algorithms ; Adult ; Decision Trees

Comparative Analysis of Algorithms with Data Mining Methods for Examining Attitudes towards STEM Fields

Autori: Göktepe Körpeoglu, Seda Göktepe Yildiz, Sevda

Zdroj: Education and Information Technologies. Mar 2023 28(3):2791-2826.

Peer Reviewed: Y

Počet strán: 36

Descriptors: Comparative Analysis, Algorithms, Data Collection, Student Attitudes, STEM Education, Middle School Students, Foreign Countries, Predictor Variables, Institutional Characteristics, Instructional Program Divisions, Gender Differences, Academic Achievement, Parent Background, Educational Attainment, Occupations

Geografický termín: Turkey (Istanbul)

Developing Feedback Taxonomy for Math: A Synergy of Perspectives through Data Mining Methods

Autori: Seiyon M. Lee Sami Baral Hongming Chip Li a ďalší

Zdroj: Journal of Educational Data Mining. 2025 17(2):1-23.

Peer Reviewed: Y

Počet strán: 23

Sponsoring Agency: National Science Foundation (NSF)
Institute of Education Sciences (ED)

Descriptors: Feedback (Response), Taxonomy, Data Analysis, Middle School Mathematics, Electronic Learning, Mathematics Instruction, Educational Technology, Questioning Techniques, Coding, Factor Analysis, Multivariate Analysis, Correlation

IES Funded: Yes

An Investigation of Data Mining Classification Methods in Classifying Students According to 2018 PISA Reading Scores

Autori: Buyukatak, Emrah Anil, Duygu

Zdroj: International Journal of Assessment Tools in Education. 2022 9(4):867-882.

Peer Reviewed: Y

Počet strán: 16

Descriptors: Classification, Accuracy, Reading Tests, Achievement Tests, Foreign Countries, International Assessment, Secondary School Students, Networks, Artificial Intelligence, Bayesian Statistics, Reading Skills, Scores, Reading Achievement, Algorithms, Models

Geografický termín: Turkey

Assessment and Survey Identifiers: Program for International Student Assessment

Investigation of the Factors Affecting Teachers' Attitudes towards E-Portfolio Using Data Mining Methods

Autori: Bilge Gök Mahmut Ayaz Yasemin Erdem a ďalší

Zdroj: International Journal of Technology in Education. 2024 7(4):781-797.

Peer Reviewed: Y

Počet strán: 18

Descriptors: Foreign Countries, Elementary School Teachers, Portfolio Assessment, Technology Integration, Technology Uses in Education, Teacher Attitudes, Reflective Teaching, Reflection, Computer Attitudes, Predictor Variables, Evaluation Methods

Geografický termín: Turkey

Clinical Support System for Healthcare Providers Using Big Data Analytics.

Autori: Arunmozhi Arasan K Ramaraj E Padmapriya A

Zdroj: Journal of evaluation in clinical practice [J Eval Clin Pract] 2025 Feb; Vol. 31 (1), pp. e70014.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 9609066 Publication Model: Print Cited Medium: Internet ISSN: 1365-2753 (Electronic) Linking ISSN: 13561294 NLM ISO Abbreviation: J Eval Clin Pract Subsets: MEDLINE

Výrazy zo slovníka MeSH: Big Data* , Decision Support Systems, Clinical*/organization & administration , Data Mining*/methods , Health Personnel*, Humans ; Algorithms ; Cluster Analysis ; Data Analytics

Educational data mining, student academic performance prediction, prediction methods, algorithms and tools: an overview of reviews

Autori: Chaka Chaka

Zdroj: Je-LKS: Journal of E-Learning and Knowledge Society, Vol 18, Iss 2 (2022)

Predmety: Overview, Student Academic Performance, Educational Data Mining, Methods, Algorithms, Theory and practice of education, LB5-3640

Popis súboru: electronic resource

Relation: https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1135578; https://doaj.org/toc/1826-6223; https://doaj.org/toc/1971-8829

Prístupová URL adresa: https://doaj.org/article/5aea17e4fdc74ebaa617cf7cb3554510

Educational Data Mining, Student Academic Performance Prediction, Prediction Methods, Algorithms and Tools: An Overview of Reviews

Autori: Chaka Chaka

Zdroj: Je-LKS: Journal of E-Learning and Knowledge Society, Vol 18, Iss 2 (2022)

Predmety: 4. Education, Overview, 05 social sciences, Methods, Student Academic Performance, Theory and practice of education, arts_humanities_other, 0503 education, Algorithms, LB5-3640, Educational Data Mining

Popis súboru: application/pdf

Prístupová URL adresa: https://www.preprints.org/manuscript/202108.0345/v1/download
https://doaj.org/article/5aea17e4fdc74ebaa617cf7cb3554510
https://www.preprints.org/manuscript/202108.0345/v1/download
https://www.preprints.org/manuscript/202108.0345/v1

Provide a method to diagnose and optimize diabetes using data mining methods and firefly algorithm

Autori: Reza Molaee Fard

Zdroj: مدیریت مهندسی و رایانش نرم, Vol 9, Iss 1, Pp 36-48 (2023)

Predmety: diabetes diagnosis, data mining, dbscan algorithm, svm algorithm, firefly algorithm, Industrial engineering. Management engineering, T55.4-60.8

Popis súboru: electronic resource

Relation: https://jemsc.qom.ac.ir/article_2020_19d2033b69a54d884e36d62d1c4e5edf.pdf; https://doaj.org/toc/2538-6239; https://doaj.org/toc/2538-2675

Prístupová URL adresa: https://doaj.org/article/ab0d0fbdc7a34a01a3b544134d0d0b17

Efficient Integration of CNN and LSTM for Data Mining Observation Algorithms: A Systematic Review

Autori: Kunal P Raghuwanshi

Zdroj: International Journal for Research in Applied Science and Engineering Technology. 12:2473-2478

Estimation of the Academic Performance of Students in Distance Education Using Data Mining Methods

Autori: Butuner, Resul Calp, M. Hanefi

Zdroj: International Journal of Assessment Tools in Education. 2022 9(2):410-429.

Peer Reviewed: Y

Počet strán: 20

Descriptors: Distance Education, Academic Achievement, Data Collection, Data Analysis, Elementary School Students, Secondary School Students, Learning Management Systems, COVID-19, Pandemics, Electronic Learning, Preschool Children, Correlation

GIS-based non-grain cultivated land susceptibility prediction using data mining methods

Autori: Qili Hao Tingyu Zhang Xiaohui Cheng a ďalší

Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

Predmety: Metaheuristic algorithms, Particle swarm optimization, Optimized extreme gradient boosting, Environmental management, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/a4a20c8dcae843ef96da6bf47301ce0a

A Local Discrete Text Data Mining Method in High-Dimensional Data Space

Autori: Juan Li Aiping Chen

Zdroj: International Journal of Computational Intelligence Systems, Vol 15, Iss 1, Pp 1-8 (2022)

Predmety: High-dimensional data space, Local discrete text, Data mining, Fuzzy rules, MTPIG algorithm, Multi-objective optimization, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1875-6883

Prístupová URL adresa: https://doaj.org/article/3d3ee54e2512424fa8017175f113aa6c

Association between biochemical and hematologic factors with COVID-19 using data mining methods.

Autori: Mansoori A Hosseini N Ghazizadeh H a ďalší

Zdroj: BMC infectious diseases [BMC Infect Dis] 2023 Dec 21; Vol. 23 (1), pp. 897. Date of Electronic Publication: 2023 Dec 21.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE

Výrazy zo slovníka MeSH: COVID-19*, Humans ; Adult ; Middle Aged ; Aged ; SARS-CoV-2 ; Algorithms ; Data Mining/methods ; Bilirubin

Predicting Livestock Farmers’ Attitudes towards Improved Sheep Breeds in Ahar City through Data Mining Methods

Autori: Jabraeil Vahedi Masoumeh Niazifar Mohammad Ghahremanzadeh a ďalší

Zdroj: World, Vol 5, Iss 4, Pp 848-864 (2024)

Predmety: prediction, data mining, sheep, attitude, machine learning, Social Sciences

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2673-4060/5/4/44; https://doaj.org/toc/2673-4060

Prístupová URL adresa: https://doaj.org/article/fab8c57e27e941e7aee49a6705c92abf

Investigation of Egg External Quality Characteristics of Linda Geese with Data Mining Methods.

Autori: YONAR, Harun ARSLAN, Emre KIRIKÇI, Kemal

Zdroj: Manas Journal of Agriculture Veterinary & Life Sciences. 2022, Vol. 12 Issue 2, p115-121. 7p.

Predmet: Egg quality, Geese, Data mining, K-means clustering, Algorithms

Risk Assessment of Sarcopenia in Patients With Type 2 Diabetes Mellitus Using Data Mining Methods.

Autori: Cui M Gang X Gao F a ďalší

Zdroj: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2020 Mar 10; Vol. 11, pp. 123. Date of Electronic Publication: 2020 Mar 10 (Print Publication: 2020).

Spôsob vydávania: Journal Article; Research Support, Non-U.S. Gov't; Validation Study

Informácie o časopise: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne)

Výrazy zo slovníka MeSH: Algorithms*, Data Mining/*methods , Diabetes Mellitus, Type 2/*complications , Sarcopenia/*diagnosis , Sarcopenia/*etiology, Absorptiometry, Photon ; Aged ; China/epidemiology ; Data Mining/statistics & numerical data ; Diabetes Mellitus, Type 2/diagnosis ; Diabetes Mellitus, Type 2/epidemiology ; Female ; Humans ; Male ; Prognosis ; ROC Curve ; Risk Assessment ; Risk Factors ; Sarcopenia/epidemiology

Prediction of the Factors Affecting PISA Mathematics Literacy of Students from Different Countries by Using Data Mining Methods

Autori: Aksu, Nursah Aksu, Gökhan Saracaloglu, Seda

Zdroj: International Electronic Journal of Elementary Education. Jun 2022 14(5):613-629.

Peer Reviewed: Y

Počet strán: 17

Descriptors: Predictor Variables, International Assessment, Achievement Tests, Foreign Countries, Secondary School Students, Numeracy, Data Analysis, Mathematics Achievement, Socioeconomic Status, Time on Task, Parent Background, Educational Attainment

Geografický termín: Singapore, Japan, Norway, United States, Turkey, Dominican Republic

Assessment and Survey Identifiers: Program for International Student Assessment

Partition-Based Clustering Algorithms Applied to Mixed Data for Educational Data Mining: A Survey From 1971 to 2024

Autori: Ashish Dutt Maizatul Akmar Ismail Tutut Herawan a ďalší

Zdroj: IEEE Access, Vol 12, Pp 172923-172942 (2024)

Predmety: Clustering algorithms, unsupervised learning, data mining, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10752396/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/5458d5cbd066455ba81454b35d199332

A Review on Determination of Computer Aid Diagnosis and/or Risk Factors Using Data Mining Methods in Veterinary Field.

Alternate Title: Veterinerlik Alanında Veri Madenciliği Yöntemleri Kullanılarak Bilgisayar Destekli Tanı ve/veya Risk Faktörlerinin Belirlenmesi Üzerine Bir İnceleme.

Autori: CİHAN, Pınar GÖKÇE, Erhan KALIPSIZ, Oya

Zdroj: Ataturk University Journal of Veterinary Sciences. 2019, Vol. 14 Issue 2, p209-220. 12p.

Predmet: Data mining, Veterinary drugs, Animal mortality, Animal diseases, Statistics, Animal culture, Computers