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Large‐scale data mining using genetics‐based machine learning
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inferredcites →https://doi.org/10.1002/prot.22554openalex-snapshot
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inferredcites →https://doi.org/10.1002/prot.22589openalex-snapshot
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inferredcites →https://doi.org/10.1002/prot.23160openalex-snapshot
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inferredcites →https://doi.org/10.1007/3-540-32363-5openalex-snapshot
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inferredcites →https://doi.org/10.1007/3-540-32363-5_15openalex-snapshot
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inferredcites →https://doi.org/10.1007/3-540-48229-6_3openalex-snapshot
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inferredcites →https://doi.org/10.1007/978-3-642-37959-8_15openalex-snapshot
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inferredcites →https://doi.org/10.1007/978-3-662-04923-5openalex-snapshot
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inferredcites →https://doi.org/10.1007/b104669openalex-snapshot
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inferredcites →https://doi.org/10.1016/0005-1098(78)90005-5openalex-snapshot
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inferredcites →https://doi.org/10.1016/b978-0-12-737550-2.50020-8openalex-snapshot
COGNITIVE SYSTEMS BASED ON ADAPTIVE ALGORITHMS11Research reported in this paper was supported in part by the National Science Foundation under grant DCR 71-01997 and by the Horace H. Rackham School of Graduate Studies under grant 387156.
inferredcites →https://doi.org/10.1016/b978-012077700-6/50001-8openalex-snapshot
Introduction to Protein Structure
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.artmed.2010.04.011openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.eswa.2009.03.036openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ins.2003.03.028openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.patrec.2008.08.001openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.tig.2007.12.006openalex-snapshot
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inferredcites →https://doi.org/10.1105/tpc.111.088153openalex-snapshot
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inferredcites →https://doi.org/10.1109/34.990132openalex-snapshot
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inferredcites →https://doi.org/10.1109/cec.2005.1554737openalex-snapshot
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inferredcites →https://doi.org/10.1109/cec.2008.4630920openalex-snapshot
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inferredcites →https://doi.org/10.1109/cec.2010.5586468openalex-snapshot
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inferredcites →https://doi.org/10.1109/cec.2011.5949776openalex-snapshot
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inferredcites →https://doi.org/10.1109/escience.2008.172openalex-snapshot
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inferredcites →https://doi.org/10.1109/escience.2008.78openalex-snapshot
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inferredcites →https://doi.org/10.1109/grid.2012.17openalex-snapshot
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inferredcites →https://doi.org/10.1109/icdar.2005.251openalex-snapshot
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inferredcites →https://doi.org/10.1109/isda.2009.181openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2004.840153openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2004.841683openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2005.850260openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2005.850265openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2005.863627openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2006.885163openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2007.903551openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2007.904627openalex-snapshot
IEEE Congress on Evolutionary Computation
inferredcites →https://doi.org/10.1109/tevc.2009.2014219openalex-snapshot
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inferredcites →https://doi.org/10.1109/tevc.2009.2039140openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2011.142openalex-snapshot
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inferredcites →https://doi.org/10.1109/tsmcc.2004.841904openalex-snapshot
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inferredcites →https://doi.org/10.1145/1060289openalex-snapshot
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inferredcites →https://doi.org/10.1145/1068009.1068321openalex-snapshot
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inferredcites →https://doi.org/10.1145/1068009.1068328openalex-snapshot
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inferredcites →https://doi.org/10.1145/1274000.1274061openalex-snapshot
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inferredcites →https://doi.org/10.1145/1276958.1277077openalex-snapshot
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inferredcites →https://doi.org/10.1145/1276958.1277320openalex-snapshot
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inferredcites →https://doi.org/10.1145/1389095.1389359openalex-snapshot
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inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
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inferredcites →https://doi.org/10.1145/1390156.1390170openalex-snapshot
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inferredcites →https://doi.org/10.1145/1465482.1465560openalex-snapshot
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inferredcites →https://doi.org/10.1145/1569901.1570057openalex-snapshot
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inferredcites →https://doi.org/10.1145/1569901.1570071openalex-snapshot
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inferredcites →https://doi.org/10.1145/1569901.1570087openalex-snapshot
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inferredcites →https://doi.org/10.1145/1569901.1570089openalex-snapshot
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inferredcites →https://doi.org/10.1145/1830483.1830672openalex-snapshot
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inferredcites →https://doi.org/10.1145/2001576.2001749openalex-snapshot
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inferredcites →https://doi.org/10.1145/2001576.2001750openalex-snapshot
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inferredcites →https://doi.org/10.1145/2330163.2330291openalex-snapshot
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inferredcites →https://doi.org/10.1162/153244304773936054openalex-snapshot
10.1162/153244304773936054
inferredcites →https://doi.org/10.1162/evco.1995.3.2.149openalex-snapshot
Classifier Fitness Based on Accuracy
inferredcites →https://doi.org/10.1162/evco.1996.4.2.113openalex-snapshot
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inferredcites →https://doi.org/10.1162/evco.2006.14.3.345openalex-snapshot
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inferredcites →https://doi.org/10.1162/evco.2009.17.3.307openalex-snapshot
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inferredcites →https://doi.org/10.1162/evco_a_00065openalex-snapshot
Evolving Fisher Kernels for Biological Sequence Classification
inferredcites →https://doi.org/10.1186/1471-2105-10-358openalex-snapshot
ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization
inferredcites →https://doi.org/10.1186/1471-2105-10-6openalex-snapshot
Automated Alphabet Reduction for Protein Datasets
inferredcites →https://doi.org/10.1186/1756-0381-1-6openalex-snapshot
A review of estimation of distribution algorithms in bioinformatics
inferredcites →https://doi.org/10.1201/9781136969898openalex-snapshot
Introduction to Protein Structure
inferredcites →https://doi.org/10.1201/9781420028799openalex-snapshot
DNA Microarrays and Related Genomics Techniques
inferredcites →https://doi.org/10.21276/ijre.2018.5.5.4openalex-snapshot
MapReduce: Simplified Data Processing on Large Cluster
inferredcites →https://doi.org/10.3233/ida-2002-6504openalex-snapshot
The class imbalance problem: A systematic study1
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inferred← citeshttps://doi.org/10.1002/gepi.22282openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/widm.1134openalex-snapshot
Big Data with Cloud Computing: an insight on the computing environment, MapReduce , and programming frameworks
inferred← citeshttps://doi.org/10.1002/widm.1232openalex-snapshot
A survey on graphic processing unit computing for large‐scale data mining
inferred← citeshttps://doi.org/10.1007/978-3-030-15939-9_3openalex-snapshot
EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-85977-0_7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-15702-3_45openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-30265-2_12openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-71069-3_7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00500-016-2280-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00500-021-05671-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10766-013-0292-3openalex-snapshot
Nature-Inspired Meta-Heuristics on Modern GPUs: State of the Art and Brief Survey of Selected Algorithms
inferred← citeshttps://doi.org/10.1007/s10916-015-0305-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12065-013-0092-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12065-015-0128-8openalex-snapshot
ExSTraCS 2.0: description and evaluation of a scalable learning classifier system
inferred← citeshttps://doi.org/10.1016/j.cmpb.2016.04.005openalex-snapshot
A MapReduce approach to diminish imbalance parameters for big deoxyribonucleic acid dataset
inferred← citeshttps://doi.org/10.1016/j.ijin.2020.11.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2015.10.025openalex-snapshot
Large-scale experimental evaluation of GPU strategies for evolutionary machine learning
inferred← citeshttps://doi.org/10.1016/j.ins.2017.06.039openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2013.01.049openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2014.04.078openalex-snapshot
MRPR: A MapReduce solution for prototype reduction in big data classification
inferred← citeshttps://doi.org/10.1016/j.orgel.2023.106945openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.rser.2019.03.036openalex-snapshot
Data mining new energy materials from structure databases
inferred← citeshttps://doi.org/10.1038/nrg3920openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41598-018-33986-8openalex-snapshot
Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms
inferred← citeshttps://doi.org/10.1088/1742-6596/1748/4/042010openalex-snapshot
Application of Hybrid Monocular SLAM Method in Augmented Reality
inferred← citeshttps://doi.org/10.1089/big.2014.0023openalex-snapshot
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inferred← citeshttps://doi.org/10.1108/dta-08-2019-0146openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ascc.2015.7244890openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cec.2014.6900490openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cec.2015.7256961openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cscita.2014.6839270openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/dsaa.2015.7344901openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2015.7337938openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2016.7737876openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icaca.2016.7887985openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icbda.2017.8078863openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icctct.2018.8550928openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ics.2016.0069openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iecon.2016.7793838openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/mci.2014.2369892openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/platcon.2017.7883675openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/smc.2015.461openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tevc.2021.3099289openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2463372.2463503openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2464576.2482704openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2464576.2482705openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2739482.2756590openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/2908961.2926979openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3067695.3067719openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3205651.3207869openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2015/246139openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/1094342020957393openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s40537-015-0021-4openalex-snapshot
Meta-MapReduce for scalable data mining
inferred← citeshttps://doi.org/10.13021/mars/4710openalex-snapshot
Evolutionary Machine Learning Framework for Big Data Sequence Mining
inferred← citeshttps://doi.org/10.20944/preprints202310.1055.v1openalex-snapshot
A Roadmap for Integrating Automation with Process Optimization for AI-powered Digital Transformation
inferred← citeshttps://doi.org/10.2478/ebtj-2018-0012openalex-snapshot
Artificial intelligence used in genome analysis studies
inferred← citeshttps://doi.org/10.3233/ica-140479openalex-snapshot
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets
inferred← citeshttps://doi.org/10.32604/csse.2023.024277openalex-snapshot
An Imbalanced Dataset and Class Overlapping Classification Model for Big Data
inferred← citeshttps://doi.org/10.32657/10356/164300openalex-snapshot
Lean evolutionary machine learning by multitasking simpler and hard tasks
inferred← citeshttps://doi.org/10.36548/jaicn.2024.1.003openalex-snapshot
Development of an Extraction Column using Machine Learning for the Prediction of Feed and Solvent to Obtain the Desired Extraction
inferred← citeshttps://doi.org/10.3846/13926292.2017.1269025openalex-snapshot
MODELLING THE PHOTOVOLTAIC OUTPUT POWER USING THE DIFFERENTIAL POLYNOMIAL NETWORK AND EVOLUTIONARY FUZZY RULES
inferred← citeshttps://doi.org/10.4018/978-1-5225-7927-4.ch003openalex-snapshot
Big Data and High-Performance Analyses and Processes
inferred← citeshttps://doi.org/10.4018/978-1-5225-9448-2.ch006openalex-snapshot
Big Data and Global Software Engineering
inferred← citeshttps://doi.org/10.4018/978-1-6684-3662-2.ch013openalex-snapshot
Big Data and High-Performance Analyses and Processes
inferred← citeshttps://doi.org/10.4018/978-1-6684-3662-2.ch060openalex-snapshot
Big Data and Global Software Engineering
inferred← citeshttps://doi.org/10.5120/ijca2016911669openalex-snapshot
Parallel Computing to Predict Breast Cancer Recurrence on SEER Dataset using Map-Reduce Approach
inferred← citeshttps://doi.org/10.53759/181x/jcns202101010openalex-snapshot
Analysis on Data Mining Tools Used in Business Intelligence and Inventions
inferred← citeshttps://doi.org/10.58346/jisis.2023.i2.015openalex-snapshot
An Efficient Feature Subset Selection with Fuzzy Wavelet Neural Network for Data Mining in Big Data Environment
inferred← citeshttps://doi.org/10.70675/14eb9442z2250z4cfez8e3cz0b632873952copenalex-snapshot
Extension des Programmes Génétiques pour l’apprentissage supervisé à partir de très larges Bases de Données (Big data)
inferred← citeshttps://doi.org/10.70675/b1a21057z237fz4e66zbacez2f4b84178f12openalex-snapshot
Big Data : le nouvel enjeu de l'apprentissage à partir des données massives
inferred← citeshttps://doi.org/10.70675/eb509a15zc8dcz428czbc0az025e3924ecb3openalex-snapshot
Perspectives de méta-analyse pour un environnement d'aide à la simulation et prédiction
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.