Výsledky vyhľadávania - "Data Mining and Machine Learning"

A HYBRID APPROACH FOR MALARIA CLASSIFICATION USING CNN-BASED FEATURE EXTRACTION AND TRADITIONAL MACHINE LEARNING CLASSIFIERS

Autori: omar Mohammed Alzakholi Walat A. Ahmed Bafreen N. Mohammed a ďalší

Zdroj: Science Journal of University of Zakho, Vol 13, Iss 3 (2025)

Predmety: KNN estimator, Heart Disease Prediction, Logistic Regression, Support Vector Machine, Feature Selection, Linear Discriminant Analysis, Cleveland data, Web vulnerabilities, feature extraction, feature selection, data mining, supervised machine learning, phishing websites, cyber security, and phishing identification, Science, Malaria classification, Convolutional Neural Networks (CNNs), Malaria classification, Convolutional Neural Networks (CNN), Feature extraction, Random Forest, Logistic Regression, KNN, SVM, Gradient Boosting

Prístupová URL adresa: https://doaj.org/article/2cf7f4db31144ff290a19ea93d2a03f5

From PogChamps to Insights: Detecting Original Content in Twitch Chat

Autori: Lindroos, Jari Peltonen, Jaakko Välisalo, Tanja a ďalší

Prispievatelia: Lindroos, Jari Peltonen, Jaakko Välisalo, Tanja a ďalší

Zdroj: Proceedings of the Annual Hawaii International Conference on System Sciences.

Predmety: Nykykulttuurin tutkimus, chat, elektroninen urheilu, verkkokeskustelu, tekstinlouhinta, Data Analytics, sosiaalinen media, Data Mining, and Machine Learning for Social Media, pelikulttuuri, Computational Science, Twitch, Contemporary Culture, machine learning, koneoppiminen, verkkojuttelu, natural language processing, social media analysis, Laskennallinen tiede

Popis súboru: application/pdf; fulltext

Prístupová URL adresa: http://urn.fi/URN:NBN:fi:jyu-202502202124

Travel Interest Point Recommendation Algorithm Based on Collaborative Filtering and Graph Convolutional Neural Networks

Autori: Pan, Lan Wei, Jiayin Lu, Youjun a ďalší

Zdroj: Computing and Informatics; Vol. 43 No. 6 (2024): Computing and Informatics; 1516–1538

Predmety: image denoising encoder, Graph convolutional neural network, domain aggregation, Deep Learning, Neural Networks, recommendation algorithm, collaborative filtering, Data Mining and Machine Learning, Graph Neural Network

Popis súboru: application/pdf

Prístupová URL adresa: https://www.cai.sk/ojs/index.php/cai/article/view/2024_6_1516

Effects of network topology on the performance of consensus and distributed learning of SVMs using ADMM

Autori: Tavara, Shirin Schliep, Alexander

Zdroj: PeerJ Computer Science. 7

Predmety: Data Mining and Machine Learning, Distributed and Parallel Computing, Network Science and Online Social Networks, Machine learning, Parallel and distributed computing, SVMs, ADMM, Expander graphs, Distributed optimization, Convergence

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-21403
https://doi.org/10.7717/peerj-cs.397

Load profiling of commercial and residential building using clustering technique

Autori: Olawumi, A. E. Dahunsi, F. M.

Zdroj: Nigerian Journal of Technology; Vol. 42 No. 2 (2023); 257-263

Predmety: Data mining, Clustering, Machine learning, Consumption data, 7. Clean energy

Popis súboru: application/pdf

Prístupová URL adresa: https://www.ajol.info/index.php/njt/article/view/252682

Cloud-based real-time enhancement for disease prediction using Confluent Cloud, Apache Kafka, feature optimization, and explainable artificial intelligence

Autori: Abdulaziz AlMohimeed

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2899 (2025)

Predmety: Confluent Cloud, Feature optimization explainable artificial intelligence, Apache Kafka, Stream processing platforms, Electronic computers. Computer science, Machine learning, Data Mining and Machine Learning, QA75.5-76.95, Stacking model

Prístupová URL adresa: https://doaj.org/article/43700f7c5d11434da8045f992b8859ca

RA-QoS: a robust autoencoder-based QoS predictor for highly accurate web service QoS prediction

Autori: Shun Fu Junnan Li Lufeng Wang

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2928 (2025)

Predmety: Web service quality, Electronic computers. Computer science, Deep neural networks, Data Mining and Machine Learning, QoS predicting, QA75.5-76.95, Recommendation systems

Prístupová URL adresa: https://doaj.org/article/def336eba7374c3b9188dea0bce93770

FLASC: a flare-sensitive clustering algorithm

Autori: Bot, Daniel M. Peeters, Jannes Liesenborgs, Jori a ďalší

Prispievatelia: Bot, Daniel M. Peeters, Jannes Liesenborgs, Jori a ďalší

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2792 (2025)

Predmety: FOS: Computer and information sciences, Technology, Computer Science - Machine Learning, Data Mining and Machine Learning, PERSISTENT HOMOLOGY, 46 Information and computing sciences, Computer Science, Artificial Intelligence, Density-based clustering, Machine Learning (cs.LG), MINIMAL PRESENTATIONS, Data Science Keywords Exploratory data analysis, Exploratory data analysis, Computer Science - Databases, H.3.3, Computer Science, Theory & Methods, PRINCIPAL GRAPH, SIGNATURES, Science & Technology, Computer Science, Information Systems, Subjects Algorithms and Analysis of Algorithms, I.5.3, Databases (cs.DB), QA75.5-76.95, Branch-hierarchy detection, HDBSCAN, DIMENSIONALITY REDUCTION, Algorithms and Analysis of Algorithms, 0806 Information Systems, Electronic computers. Computer science, Computer Science

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2311.15887
https://doaj.org/article/c1cbabccf6bd4bdda4a364428367ffd7
https://lirias.kuleuven.be/handle/20.500.12942/763701
https://doi.org/10.7717/peerj-cs.2792
http://hdl.handle.net/1942/45980

Graph neural networks embedded with domain knowledge for cyber threat intelligence entity and relationship mining

Autori: Gan Liu Kai Lu Saiqi Pi

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2769 (2025)

Predmety: Relationship extraction, Entity recognition, Feature fusion, Electronic computers. Computer science, Data Mining and Machine Learning, Graph convolutional network, QA75.5-76.95, Threat intelligence

Prístupová URL adresa: https://doaj.org/article/ebf6e8338a45488cb347629a8ee0fb90

The effects of mismatched train and test data cleaning pipelines on regression models: lessons for practice

Autori: James Nevin Michael Lees Paul Groth

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2793 (2025)

Predmety: Data cleaning, Electronic computers. Computer science, Data Mining and Machine Learning, Data quality, QA75.5-76.95, Regression models

Prístupová URL adresa: https://doaj.org/article/656d5978857a4bb68b610a7c72f7e27b

Demand-side load forecasting in smart grids using machine learning techniques

Autori: Muhammad Yasir Masood Sana Aurangzeb Muhammad Aleem a ďalší

Zdroj: PeerJ Computer Science, Vol 10, p e1987 (2024)

Predmety: Artificial intelligence, Data mining and machine learning, Forecasting and prediction, Data science, Smart grid, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://peerj.com/articles/cs-1987.pdf; https://peerj.com/articles/cs-1987/; https://doaj.org/toc/2376-5992

Prístupová URL adresa: https://doaj.org/article/edcb5ab9526e470c9af6d543c4125c8a

Fake news detection: state-of-the-art review and advances with attention to Arabic language aspects

Autori: Eman Salamah Albtoush Keng Hoon Gan Saif A. Ahmad Alrababa

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2693 (2025)

Predmety: Fake news, Electronic computers. Computer science, Arabic language, Machine learning, Data Mining and Machine Learning, Datasets, QA75.5-76.95, Detection approaches

Prístupová URL adresa: https://doaj.org/article/a532b1e2ddce4f77a078af4a03aea01d

Semantic approaches for query expansion: taxonomy, challenges, and future research directions

Autori: Azzah Allahim Asma Cherif Abdessamad Imine

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2664 (2025)

Predmety: Query expansion, Semantic query, Ontology, Electronic computers. Computer science, Data Mining and Machine Learning, QA75.5-76.95, Semantic web

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40134880
https://doaj.org/article/3e3f78f696f24e81880bbed2fd36befd

Optimizing forensic file classification: enhancing SFCS with βk hyperparameter tuning

Autori: D. Paul Joseph Viswanathan Perumal

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2608 (2025)

Predmety: Metadata, Digital forensics, Electronic computers. Computer science, Disc forensics, Data Mining and Machine Learning, Blacklisted keywords, Forensic data classification, QA75.5-76.95, Forensic seed words

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40134876
https://doaj.org/article/e78e97acd6714115981f349b22c03c4a

Dynamic Periodic Event Graphs for multivariate time series pattern prediction

Autori: SoYoung Park HyeWon Lee Sungsu Lim

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2717 (2025)

Predmety: Self-supervised learning, Event graphs, Electronic computers. Computer science, Data Mining and Machine Learning, Link prediction, QA75.5-76.95, Multivariate time series analysis, Dynamic graphs, Graph neural networks

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40062288
https://doaj.org/article/1de7ec43607e4d5c834daeea73686cae

Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office

Autori: Shofinurdin Soffan Arif Bramantoro Ahmad A. Alzahrani

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2672 (2025)

Predmety: Genetic algorithm, Data envelopment analysis, Electronic computers. Computer science, Machine learning, Data Mining and Machine Learning, Multilayer perceptron, Efficiency, QA75.5-76.95, Tax service office

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40062270
https://doaj.org/article/a3ecb1ad871a49b3a77680594bad9da2

Fast binary logistic regression

Autori: Nurdan Ayse Saran Fatih Nar

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2579 (2025)

Predmety: Low-rank, Lf-norm regularization, Electronic computers. Computer science, Data Mining and Machine Learning, Singular value decomposition, Logistic regression, QA75.5-76.95

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40062264
https://doaj.org/article/a30209b30fc344df8a321d788295ec23

Efficient skyline query processing with user-specified conditional preference

Autori: Senfu Ke Xiaodong Fu Jie Li

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2659 (2025)

Predmety: Optimization, Data query, Recommendation system, Skyline query, Electronic computers. Computer science, Data Mining and Machine Learning, QA75.5-76.95, User preference, Data mining

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40062282
https://doaj.org/article/e5e11941131442be919356e92e52af88

Random k conditional nearest neighbor for high-dimensional data

Autori: Jiaxuan Lu Hyukjun Gweon

Zdroj: PeerJ Comput Sci
PeerJ Computer Science, Vol 11, p e2497 (2025)

Predmety: High-dimensional data, Nonparametric classification, Electronic computers. Computer science, Data Mining and Machine Learning, K nearest neighbor, QA75.5-76.95

Prístupová URL adresa: https://doaj.org/article/f9bf41fdef6e435a825d66a560d146a6

Prediction of sentiment polarity in restaurant reviews using an ordinal regression approach based on evolutionary XGBoost

Autori: Dana A. Al-Qudah Ala’ M. Al-Zoubi Alexandra I. Cristea a ďalší

Zdroj: PeerJ Comput Sci
Digibug. Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
PeerJ Computer Science, Vol 11, p e2370 (2025)

Predmety: Electronic computers. Computer science, Ordinal regression, Data Mining and Machine Learning, Evolutionary, QA75.5-76.95, Particle swarm optimisation, Sentiment polarity, XGBoost

Prístupová URL adresa: https://doaj.org/article/83fdfdb4a2774de6a01b123d2e8be35b
https://hdl.handle.net/10481/104926