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Evolving Big Data Stream Classification with MapReduce
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/3-540-59119-2_166openalex-snapshot
A desicion-theoretic generalization of on-line learning and an application to boosting
inferredcites →https://doi.org/10.1007/978-0-387-21606-5openalex-snapshot
The Elements of Statistical Learning
inferredcites →https://doi.org/10.1023/a:1007614523901openalex-snapshot
Improved Boosting Algorithms Using Confidence-rated Predictions
inferredcites →https://doi.org/10.1109/bigdata.congress.2013.58openalex-snapshot
Labeling Instances in Evolving Data Streams with MapReduce
inferredcites →https://doi.org/10.1109/cloud.2012.127openalex-snapshot
Cloud Guided Stream Classification Using Class-Based Ensemble
inferredcites →https://doi.org/10.1109/ictai.2012.168openalex-snapshot
Novel Class Detection and Feature via a Tiered Ensemble Approach for Stream Mining
inferredcites →https://doi.org/10.1109/iswc.2012.13openalex-snapshot
Introducing a New Benchmarked Dataset for Activity Monitoring
inferredcites →https://doi.org/10.1109/tkde.2010.61openalex-snapshot
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints
inferredcites →https://doi.org/10.1109/tkde.2011.208openalex-snapshot
Scalable and Parallel Boosting with MapReduce
inferredcites →https://doi.org/10.1145/1557019.1557041openalex-snapshot
New ensemble methods for evolving data streams
inferredcites →https://doi.org/10.1145/1774088.1774434openalex-snapshot
Data stream anomaly detection through principal subspace tracking
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.eswa.2015.10.022openalex-snapshot
Predicting recurring concepts on data-streams by means of a meta-model and a fuzzy similarity function
inferred← citeshttps://doi.org/10.1016/j.knosys.2015.05.027openalex-snapshot
ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem
inferred← citeshttps://doi.org/10.1093/comjnl/bxab053openalex-snapshot
Rider Chicken Optimization Algorithm-Based Recurrent Neural Network for Big Data Classification in Spark Architecture
inferred← citeshttps://doi.org/10.1111/exsy.12288openalex-snapshot
Incremental one‐class classification on stationary data stream using two‐quarter sphere
inferred← citeshttps://doi.org/10.1145/3054925openalex-snapshot
A Survey on Ensemble Learning for Data Stream Classification
inferred← citeshttps://doi.org/10.1145/3297730.3297731openalex-snapshot
Target Data Optimization based on Big Data-streaming for Two-stage Fuzzy Extraction System
inferred← citeshttps://doi.org/10.1145/3373464.3373470openalex-snapshot
Machine learning for streaming data
inferred← citeshttps://doi.org/10.11606/d.3.2024.tde-20082024-101910openalex-snapshot
Armazenamento elástico na recepção de dados em fluxo contínuo variável.
inferred← citeshttps://doi.org/10.1186/s40537-021-00464-4openalex-snapshot
Analysis of Bayesian optimization algorithms for big data classification based on Map Reduce framework
inferred← citeshttps://doi.org/10.1515/jisys-2018-0020openalex-snapshot
FCNB: Fuzzy Correlative Naive Bayes Classifier with MapReduce Framework for Big Data Classification
inferred← citeshttps://doi.org/10.20868/upm.thesis.39177openalex-snapshot
Autonomous classification models in ubiquitous environments
inferred← citeshttps://doi.org/10.3233/jifs-211100openalex-snapshot
An overview of complex data stream ensemble classification
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