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Distributed anomaly detection using 1‐class SVM for vertically partitioned 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.10009openalex-snapshot
A Scalable Local Algorithm for Distributed Multivariate Regression
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Distance-based outliers: algorithms and applications
inferredcites →https://doi.org/10.1007/s10462-004-4304-yopenalex-snapshot
A Survey of Outlier Detection Methodologies
inferredcites →https://doi.org/10.1029/2007eo260001openalex-snapshot
Revealing land cover change in California with satellite data
inferredcites →https://doi.org/10.1109/icdcs.2006.49openalex-snapshot
In-Network Outlier Detection in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/icdm.2008.49openalex-snapshot
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
inferredcites →https://doi.org/10.1109/icdm.2009.42openalex-snapshot
ν-Anomica: A Fast Support Vector Based Novelty Detection Technique
inferredcites →https://doi.org/10.1109/iti.2006.1708474openalex-snapshot
Spatio-temporal outlier detection in large databases
inferredcites →https://doi.org/10.1109/tkde.2005.31openalex-snapshot
Outlier mining in large high-dimensional data sets
inferredcites →https://doi.org/10.1109/tkde.2008.169openalex-snapshot
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
inferredcites →https://doi.org/10.1109/tmm.2002.1017732openalex-snapshot
Spatial contextual classification and prediction models for mining geospatial data
inferredcites →https://doi.org/10.1109/tsmcb.2010.2051540openalex-snapshot
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
inferredcites →https://doi.org/10.1145/1281192.1281219openalex-snapshot
Detecting anomalous records in categorical datasets
inferredcites →https://doi.org/10.1145/1341012.1341075openalex-snapshot
A parallel multi-scale region outlier mining algorithm for meteorological data
inferredcites →https://doi.org/10.1145/1835804.1835813openalex-snapshot
Multiple kernel learning for heterogeneous anomaly detection
inferredcites →https://doi.org/10.1145/335191.335437openalex-snapshot
Efficient algorithms for mining outliers from large data sets
inferredcites →https://doi.org/10.1145/375663.375728openalex-snapshot
Communication-efficient distributed mining of association rules
inferredcites →https://doi.org/10.1145/956676.956683openalex-snapshot
Detecting region outliers in meteorological data
inferredcites →https://doi.org/10.1145/956750.956758openalex-snapshot
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
inferredcites →https://doi.org/10.1162/089976601750264965openalex-snapshot
Estimating the Support of a High-Dimensional Distribution
inferredcites →https://doi.org/10.2498/cit.2006.04.04openalex-snapshot
Spatio-Temporal Outlier Detection in Large Databases
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Outlier Detection for Temporal Data
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Distributed Anomalies Detection Using Isolation Forest and Spark
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Towards the Identification of Outliers in Satellite Telemetry Data by Using Fourier Coefficients
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Sustainable Industrial Processes by Embedded Real-Time Quality Prediction
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Distributed Support Vector Machines: An Overview
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Distributed Machine Learning with Context-Awareness for the Regression Task
inferred← citeshttps://doi.org/10.1007/978-3-642-40994-3_21openalex-snapshot
Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines
inferred← citeshttps://doi.org/10.1007/s00521-021-06089-1openalex-snapshot
Remaining useful life predictions for turbofan engine degradation based on concurrent semi-supervised model
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.105754openalex-snapshot
One-class support vector classifiers: A survey
inferred← citeshttps://doi.org/10.1016/j.patcog.2015.09.020openalex-snapshot
Active cleaning of label noise
inferred← citeshttps://doi.org/10.1016/j.patrec.2013.02.014openalex-snapshot
On-line anomaly detection and resilience in classifier ensembles
inferred← citeshttps://doi.org/10.1016/j.physa.2020.124219openalex-snapshot
A mixed solution-based high agreement filtering method for class noise detection in binary classification
inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2018.8491464openalex-snapshot
Fuzzy Clustering based Anomaly Detection for Distributed Multi-view Data
inferred← citeshttps://doi.org/10.1109/jiot.2024.3416525openalex-snapshot
Leveraging Spatiotemporal Correlations With Recurrent Autoencoders for Sensor Anomaly Detection
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Wind Speed Forecast under a Distributed Learning Approach
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Distributed One-Class Support Vector Machine
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Challenges for Data Mining on Sensor Data of Interlinked Processes
inferred← citeshttps://doi.org/10.2200/s00573ed1v01y201403dmk008openalex-snapshot
Outlier Detection for Temporal Data
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A COMPARATIVE ANALYSIS OF ANOMALY DETECTION FROM MICROSERVICE GENERATED UNSTRUCTURED LOGS
inferred← citeshttps://doi.org/10.4018/978-1-4666-5202-6openalex-snapshot
Transportation Network Optimization
inferred← citeshttps://doi.org/10.4018/978-1-4666-5202-6.ch157openalex-snapshot
Outlier Detection in Big Data
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Finding Outliers in Satellite Patterns by Learning Pattern Identities
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Détection distribuée d'anomalies dans les flux de données
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