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Random Forests for Big Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/sam.11196openalex-snapshot
A weighted random forests approach to improve predictive performance
inferredcites →https://doi.org/10.1002/wics.1306openalex-snapshot
Applying statistical thinking to ‘Big Data’ problems
inferredcites →https://doi.org/10.1002/widm.1114openalex-snapshot
Mining data with random forests: current options for real‐world applications
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/978-1-4614-1314-1_17openalex-snapshot
Resampling Fewer Than n Observations: Gains, Losses, and Remedies for Losses
inferredcites →https://doi.org/10.1007/978-3-540-85654-2_54openalex-snapshot
Classifying Evolving Data Streams Using Dynamic Streaming Random Forests
inferredcites →https://doi.org/10.1007/s10994-006-9449-2openalex-snapshot
An analysis of diversity measures
inferredcites →https://doi.org/10.1016/j.cmpb.2006.04.006openalex-snapshot
Creating non-parametric bootstrap samples using Poisson frequencies
inferredcites →https://doi.org/10.1016/j.ins.2014.03.043openalex-snapshot
On the use of MapReduce for imbalanced big data using Random Forest
inferredcites →https://doi.org/10.1016/j.patcog.2010.08.011openalex-snapshot
Mining data with random forests: A survey and results of new tests
inferredcites →https://doi.org/10.1016/j.patrec.2010.03.014openalex-snapshot
Variable selection using random forests
inferredcites →https://doi.org/10.1073/pnas.1302293110openalex-snapshot
Computational and statistical tradeoffs via convex relaxation
inferredcites →https://doi.org/10.1109/icde.2012.104openalex-snapshot
Extending Map-Reduce for Efficient Predicate-Based Sampling
inferredcites →https://doi.org/10.1109/icsmc.2005.1571498openalex-snapshot
Online Bagging and Boosting
inferredcites →https://doi.org/10.1109/tkde.2010.36openalex-snapshot
Classification Using Streaming Random Forests
inferredcites →https://doi.org/10.1111/rssb.12050openalex-snapshot
A Scalable Bootstrap for Massive Data
inferredcites →https://doi.org/10.1145/1557019.1557118openalex-snapshot
Fast approximate spectral clustering
inferredcites →https://doi.org/10.1145/1807167.1807278openalex-snapshot
Data warehousing and analytics infrastructure at facebook
inferredcites →https://doi.org/10.1145/509907.509947openalex-snapshot
Approximate clustering via core-sets
inferredcites →https://doi.org/10.14288/1.0043878openalex-snapshot
A Split-and-Conquer Approach for Analysis of Extraordinarily Large Data
inferredcites →https://doi.org/10.14778/2336664.2336675openalex-snapshot
Early accurate results for advanced analytics on MapReduce
inferredcites →https://doi.org/10.18637/jss.v055.i14openalex-snapshot
Scalable Strategies for Computing with Massive Data
inferredcites →https://doi.org/10.3150/12-bejsp17openalex-snapshot
On statistics, computation and scalability
inferredcites →https://doi.org/10.3166/isi.19.3.93-105openalex-snapshot
Big data analytics – Retour vers le futur 3. De statisticien à data scientist
inferredcites →https://doi.org/10.48550/arxiv.1302.4853openalex-snapshot
Consistency of Online Random Forests
inferredcites →https://doi.org/10.48550/arxiv.1405.6676openalex-snapshot
Statistique et Big Data Analytics; Volumétrie, L'Attaque des Clones
inferredcites →https://doi.org/10.48550/arxiv.1407.3939openalex-snapshot
Analysis of purely random forests bias
inferredcites →https://doi.org/10.48550/arxiv.1503.05187openalex-snapshot
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0040openalex-snapshot
Map-Reduce for Machine Learning on Multicore
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Weighted robust hybrid partial least squares regression forest
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Spatial prediction of soil organic carbon stocks across contrasting Andean basins, Peru
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Evaluating and predicting deliverability of natural gas storage sites using stacking machine learning models
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Machine Learning–Driven prediction of wettability in brine–co2–mineral systems: A step toward reliable geological carbon storage
inferred← citeshttps://doi.org/10.1016/j.geomorph.2021.107889openalex-snapshot
Rapidly assessing earthquake-induced landslide susceptibility on a global scale using random forest
inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2018.08.006openalex-snapshot
Real-time big data processing for anomaly detection: A Survey
inferred← citeshttps://doi.org/10.1016/j.ijrmhm.2025.107569openalex-snapshot
Machine learning-based service life prediction of cemented carbide micro-drills
inferred← citeshttps://doi.org/10.1016/j.iot.2025.101574openalex-snapshot
A Deep Learning-Based Cyberattack Detection Method for Transmission Line Differential Relays
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103271openalex-snapshot
Optimized hadoop map reduce system for strong analytics of cloud big product data on amazon web service
inferred← citeshttps://doi.org/10.1016/j.isci.2024.109025openalex-snapshot
Integrative analysis of multimodal patient data identifies personalized predictors of tuberculosis treatment prognosis
inferred← citeshttps://doi.org/10.1016/j.jairtraman.2023.102473openalex-snapshot
Predicting aircraft trajectory uncertainties for terminal airspace design evaluation
inferred← citeshttps://doi.org/10.1016/j.jallcom.2024.174800openalex-snapshot
Fabrication of FeP2/C/CNTs@3D interconnected graphene aerogel composite for lithium-ion battery anodes and the electrochemical performance evaluation using machine learning
inferred← citeshttps://doi.org/10.1016/j.jclepro.2017.11.234openalex-snapshot
Best Available Techniques: An integrated method for multicriteria assessment of reference installations
inferred← citeshttps://doi.org/10.1016/j.jclepro.2019.01.031openalex-snapshot
Machine learning powered software for accurate prediction of biogas production: A case study on industrial-scale Chinese production data
inferred← citeshttps://doi.org/10.1016/j.jenvman.2018.06.073openalex-snapshot
Identification of urban drinking water supply patterns across 627 cities in China based on supervised and unsupervised statistical learning
inferred← citeshttps://doi.org/10.1016/j.jenvman.2020.111713openalex-snapshot
Machine learning models for streamflow regionalization in a tropical watershed
inferred← citeshttps://doi.org/10.1016/j.jenvman.2021.114347openalex-snapshot
Human-induced arsenic pollution modeling in surface waters - An integrated approach using machine learning algorithms and environmental factors
inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.120564openalex-snapshot
Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning
inferred← citeshttps://doi.org/10.1016/j.jhin.2025.04.024openalex-snapshot
Comparative analysis of machine learning models for predicting hospital- and community-associated urinary tract infections using demographic, hospital, and socioeconomic predictors
inferred← citeshttps://doi.org/10.1016/j.jics.2026.102618openalex-snapshot
Persulfate-based oxidative degradation of simulated caffeinated aqueous solutions: Machine learning integration and comparative model analysis
inferred← citeshttps://doi.org/10.1016/j.jisa.2019.02.008openalex-snapshot
Detection of power grid disturbances and cyber-attacks based on machine learning
inferred← citeshttps://doi.org/10.1016/j.jnca.2020.102766openalex-snapshot
Fine-grained flow classification using deep learning for software defined data center networks
inferred← citeshttps://doi.org/10.1016/j.jngse.2021.104045openalex-snapshot
Machine learning-based production forecast for shale gas in unconventional reservoirs via integration of geological and operational factors
inferred← citeshttps://doi.org/10.1016/j.jwpe.2024.105596openalex-snapshot
Assessing energy efficiency of water services and its drivers: A case study from water companies in England and Wales
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.07.016openalex-snapshot
New margin-based subsampling iterative technique in modified random forests for classification
inferred← citeshttps://doi.org/10.1016/j.mlwa.2025.100645openalex-snapshot
Machine learning based risk analysis and predictive modeling of structure fire related casualties
inferred← citeshttps://doi.org/10.1016/j.nxener.2026.100789openalex-snapshot
Experimental and predictive modeling of density of AMP–DA2MP and MDEA–DA2MP bi-solvent amine blends for CO2 capture
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2025.121845openalex-snapshot
Main engine power characteristics and prediction of vessels in the Yangtze River using dual-parallel algorithmic processes
inferred← citeshttps://doi.org/10.1016/j.patrec.2016.11.006openalex-snapshot
A Windowing strategy for Distributed Data Mining optimized through GPUs
inferred← citeshttps://doi.org/10.1016/j.petrol.2018.11.076openalex-snapshot
Insights to fracture stimulation design in unconventional reservoirs based on machine learning modeling
inferred← citeshttps://doi.org/10.1016/j.petrol.2019.01.006openalex-snapshot
Optimization of models for a rapid identification of lithology while drilling - A win-win strategy based on machine learning
inferred← citeshttps://doi.org/10.1016/j.petrol.2022.110900openalex-snapshot
Shale oil production prediction and fracturing optimization based on machine learning
inferred← citeshttps://doi.org/10.1016/j.petsci.2024.11.001openalex-snapshot
Predicting the productivity of fractured horizontal wells using few-shot learning
inferred← citeshttps://doi.org/10.1016/j.procir.2025.08.115openalex-snapshot
A machine learning method to predict printing time for the L-PBF process
inferred← citeshttps://doi.org/10.1016/j.resourpol.2021.102189openalex-snapshot
Forecasting monthly copper price: A comparative study of various machine learning-based methods
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.109593openalex-snapshot
Expert-decision and optimization framework for eco-efficient recycled-powder concrete toward blast-resistant structural applications
inferred← citeshttps://doi.org/10.1016/j.sca.2025.100182openalex-snapshot
A machine learning and evolutionary optimization framework for carbon-aware supply chain routing
inferred← citeshttps://doi.org/10.1016/j.scs.2024.105853openalex-snapshot
Dynamic simulation of street-level carbon emissions in megacities: A case study of Wuhan City, China (2015–2030)
inferred← citeshttps://doi.org/10.1016/j.scs.2025.106631openalex-snapshot
Disentangling the drivers of urban air quality using large-scale and high-resolution data: Driving towards urban sustainability
inferred← citeshttps://doi.org/10.1016/j.solener.2023.111853openalex-snapshot
Performance prediction and optimization of perovskite solar cells based on the Bayesian approach
inferred← citeshttps://doi.org/10.1016/j.uclim.2024.102222openalex-snapshot
Spatial and temporal correlation between green space landscape pattern and carbon emission—Three major coastal urban agglomerations in China
inferred← citeshttps://doi.org/10.1016/j.wpi.2019.101903openalex-snapshot
Multi-label classification and interactive NLP-based visualization of electric vehicle patent data
inferred← citeshttps://doi.org/10.1021/acs.energyfuels.3c01293openalex-snapshot
Harnessing Advanced Machine-Learning Algorithms for Optimized Data Conditioning and Petrophysical Analysis of Heterogeneous, Thin Reservoirs
inferred← citeshttps://doi.org/10.1029/2022wr033226openalex-snapshot
Controls on the Spatial and Temporal Patterns of Rainfall‐Runoff Event Characteristics—A Large Sample of Catchments Across Great Britain
inferred← citeshttps://doi.org/10.1029/2025wr042101openalex-snapshot
Spatiotemporal Drivers of Runoff Event Timescales: An Event‐Based Clustering Approach Applied to 388 Catchments in the Contiguous United States
inferred← citeshttps://doi.org/10.1038/s41598-020-65232-5openalex-snapshot
A Framework for Modeling Flood Depth Using a Hybrid of Hydraulics and Machine Learning
inferred← citeshttps://doi.org/10.1038/s41598-025-09654-zopenalex-snapshot
A multi-objective optimization-driven screening approach for maximizing hydrogen storage capacities in MOFs
inferred← citeshttps://doi.org/10.1038/s41598-025-85477-2openalex-snapshot
Construction and application of optimized model for mine water inflow prediction based on neural network and ARIMA model
inferred← citeshttps://doi.org/10.1038/s41598-026-47220-3openalex-snapshot
Expert experience-guided virtual datasets for adaptive automatic driving in metro trains
inferred← citeshttps://doi.org/10.1039/d4dd00079jopenalex-snapshot
Efficiently solving the curse of feature-space dimensionality for improved peptide classification
inferred← citeshttps://doi.org/10.1049/sfw2.12083openalex-snapshot
Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers
inferred← citeshttps://doi.org/10.1051/e3sconf/202673003003openalex-snapshot
Machine learning-driven modeling of soil plasticity and strength parameters with interpretability insights
inferred← citeshttps://doi.org/10.1063/1.5132473openalex-snapshot
Ovarian cancer data classification using bagging and random forest
inferred← citeshttps://doi.org/10.1063/5.0048771openalex-snapshot
Machine learning-aided design optimization of a mechanical micromixer
inferred← citeshttps://doi.org/10.1073/pnas.2405963121openalex-snapshot
Chemical composition from photos: Dried solution drops reveal a morphogenetic tree
inferred← citeshttps://doi.org/10.1080/01605682.2021.1907239openalex-snapshot
A DEA and random forest regression approach to studying bank efficiency and corporate governance
inferred← citeshttps://doi.org/10.1080/13504509.2019.1706059openalex-snapshot
Which social program supports sustainable grass-root finance? Machine-learning evidence
inferred← citeshttps://doi.org/10.1080/14680629.2024.2374885openalex-snapshot
Response surface regression and machine learning models to predict the porosity and compressive strength of pervious concrete based on mix design parameters
inferred← citeshttps://doi.org/10.1080/15481603.2022.2134561openalex-snapshot
Automated classification of A-DInSAR-based ground deformation by using random forest
inferred← citeshttps://doi.org/10.1080/19393555.2026.2632670openalex-snapshot
Intrusion detection using ensemble learning and deep learning for IoT network security
inferred← citeshttps://doi.org/10.1080/19475705.2023.2190858openalex-snapshot
Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China
inferred← citeshttps://doi.org/10.1080/20476965.2021.1924085openalex-snapshot
Predicting non-attendance in hospital outpatient appointments using deep learning approach
inferred← citeshttps://doi.org/10.1088/1361-651x/adec0bopenalex-snapshot
Supervised machine learning with finite element residual stress prediction in a laser peened (Ti-6Al-7Nb) titanium alloy for medical applications
inferred← citeshttps://doi.org/10.1088/1755-1315/1557/1/012036openalex-snapshot
Evaluating machine learning models for short-term hydropower output prediction using limited data
inferred← citeshttps://doi.org/10.1088/1757-899x/546/5/052009openalex-snapshot
Classification method at acceptance of new student at public university on the national written test
inferred← citeshttps://doi.org/10.1093/forestry/cpag012openalex-snapshot
Predicting wood assortment volumes from stand attributes, topography, and airborne laser scanning data using accurately positioned harvester data as a reference
inferred← citeshttps://doi.org/10.1093/jambio/lxag036openalex-snapshot
Reviewing the role of artificial intelligence in accelerating the development of novel antimicrobial peptides
inferred← citeshttps://doi.org/10.1093/mnras/staa166openalex-snapshot
An investigation on the factors affecting machine learning classifications in gamma-ray astronomy
inferred← citeshttps://doi.org/10.1101/809111openalex-snapshot
Quantifying the individual impact of artificial barriers in freshwaters: A standardized and absolute genetic index of fragmentation
inferred← citeshttps://doi.org/10.1109/access.2020.3010938openalex-snapshot
Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses
inferred← citeshttps://doi.org/10.1109/access.2025.3545245openalex-snapshot
Embedded Machine Learning-Based Voltage Fingerprinting for Automotive Cybersecurity
inferred← citeshttps://doi.org/10.1109/access.2025.3566427openalex-snapshot
Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models
inferred← citeshttps://doi.org/10.1109/bigdata.2017.8257986openalex-snapshot
Crack random forest for arbitrary large datasets
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378423openalex-snapshot
Performance Evaluation of Tree-based Models for Big Data Load Forecasting using Randomized Hyperparameter Tuning
inferred← citeshttps://doi.org/10.1109/ccoms.2019.8821752openalex-snapshot
Hyperparameters Optimization in Scalable Random Forest for Big Data Analytics
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