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Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11535331_19openalex-snapshot
Nearest Neighbor Search on Moving Object Trajectories
inferredcites →https://doi.org/10.1007/11908029_41openalex-snapshot
Outlier Detection Based on Rough Membership Function
inferredcites →https://doi.org/10.1007/3-540-45244-3_8openalex-snapshot
Rough Sets in Spatio-temporal Data Mining
inferredcites →https://doi.org/10.1007/3-540-46145-0_17openalex-snapshot
Outlier Detection Using Replicator Neural Networks
inferredcites →https://doi.org/10.1007/978-3-540-73451-2_52openalex-snapshot
Outlier Detection: An Approximate Reasoning Approach
inferredcites →https://doi.org/10.1007/978-3-540-77690-1_6openalex-snapshot
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks
inferredcites →https://doi.org/10.1007/978-3-540-88425-5_29openalex-snapshot
Outlier Detection Based on Granular Computing
inferredcites →https://doi.org/10.1007/978-3-642-12519-5_7openalex-snapshot
Spatio-temporal Outlier Detection in Precipitation Data
inferredcites →https://doi.org/10.1007/978-3-7908-2632-6_12openalex-snapshot
A Non Parametric Approach to the Outlier Detection in Spatio–Temporal Data Analysis
inferredcites →https://doi.org/10.1007/s00778-004-0125-5openalex-snapshot
An effective and efficient algorithm for high-dimensional outlier detection
inferredcites →https://doi.org/10.1007/s10462-004-4304-yopenalex-snapshot
A Survey of Outlier Detection Methodologies
inferredcites →https://doi.org/10.1007/s10618-009-0148-zopenalex-snapshot
A fast outlier detection strategy for distributed high-dimensional data sets with mixed attributes
inferredcites →https://doi.org/10.1007/s10618-009-0159-9openalex-snapshot
Distance-based outlier queries in data streams: the novel task and algorithms
inferredcites →https://doi.org/10.1016/j.eswa.2008.06.019openalex-snapshot
Some issues about outlier detection in rough set theory
inferredcites →https://doi.org/10.1016/j.eswa.2010.06.040openalex-snapshot
Neighborhood outlier detection
inferredcites →https://doi.org/10.1016/j.jmva.2004.02.013openalex-snapshot
Clustering and classification based on the L1 data depth
inferredcites →https://doi.org/10.1016/j.patrec.2008.01.019openalex-snapshot
LDBOD: A novel local distribution based outlier detector
inferredcites →https://doi.org/10.1016/j.sigpro.2003.07.018openalex-snapshot
Novelty detection: a review—part 1: statistical approaches
inferredcites →https://doi.org/10.1016/j.sigpro.2003.07.019openalex-snapshot
Novelty detection: a review—part 2:
inferredcites →https://doi.org/10.1016/s0167-8655(03)00003-5openalex-snapshot
Discovering cluster-based local outliers
inferredcites →https://doi.org/10.1016/s0167-9473(02)00289-xopenalex-snapshot
Visualizing categorical data in ViSta
inferredcites →https://doi.org/10.1016/s0888-613x(96)00071-0openalex-snapshot
Two views of the theory of rough sets in finite universes
inferredcites →https://doi.org/10.1023/a:1009745219419openalex-snapshot
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
inferredcites →https://doi.org/10.1080/13658816.2012.654493openalex-snapshot
Statistics-based outlier detection for wireless sensor networks
inferredcites →https://doi.org/10.1109/icde.2003.1260802openalex-snapshot
LOCI: fast outlier detection using the local correlation integral
inferredcites →https://doi.org/10.1109/icdew.2008.4498387openalex-snapshot
OutRank: ranking outliers in high dimensional data
inferredcites →https://doi.org/10.1109/icdm.2002.1184035openalex-snapshot
A comparative study of RNN for outlier detection in data mining
inferredcites →https://doi.org/10.1109/icdm.2005.59openalex-snapshot
Example-Based Robust Outlier Detection in High Dimensional Datasets
inferredcites →https://doi.org/10.1109/tkde.2002.1033770openalex-snapshot
CLARANS: a method for clustering objects for spatial data mining
inferredcites →https://doi.org/10.1109/tkde.2005.31openalex-snapshot
Outlier mining in large high-dimensional data sets
inferredcites →https://doi.org/10.1109/tsmcb.2007.906578openalex-snapshot
Rough Set Based Generalized Fuzzy $C$ -Means Algorithm and Quantitative Indices
inferredcites →https://doi.org/10.1111/j.1467-9469.2005.00423.xopenalex-snapshot
On Maximum Depth and Related Classifiers
inferredcites →https://doi.org/10.1111/j.1467-9671.2006.00256.xopenalex-snapshot
A Multiscale Approach for Spatio-Temporal Outlier Detection
inferredcites →https://doi.org/10.1137/1.9781611972788.22openalex-snapshot
Similarity Measures for Categorical Data: A Comparative Evaluation
inferredcites →https://doi.org/10.1145/1150402.1150447openalex-snapshot
Mining distance-based outliers from large databases in any metric space
inferredcites →https://doi.org/10.1145/1281192.1281219openalex-snapshot
Detecting anomalous records in categorical datasets
inferredcites →https://doi.org/10.1145/2020408.2020571openalex-snapshot
Discovering spatio-temporal causal interactions in traffic data streams
inferredcites →https://doi.org/10.1145/335191.335383openalex-snapshot
Finding generalized projected clusters in high dimensional spaces
inferredcites →https://doi.org/10.1145/335191.335437openalex-snapshot
Efficient algorithms for mining outliers from large data sets
inferredcites →https://doi.org/10.1145/342009.335383openalex-snapshot
Finding generalized projected clusters in high dimensional spaces
inferredcites →https://doi.org/10.1145/342009.335437openalex-snapshot
Efficient algorithms for mining outliers from large data sets
inferredcites →https://doi.org/10.2139/ssrn.1275842openalex-snapshot
Clustering Techniques Applied to Outlier Detection of Financial Market Series Using a Moving Window Filtering Algorithm
inferredcites →https://doi.org/10.2498/cit.2006.04.04openalex-snapshot
Spatio-Temporal Outlier Detection in Large Databases
inferredcites →https://doi.org/10.4018/978-1-4666-2455-9.ch009openalex-snapshot
Data Mining Techniques for Outlier Detection
inferredcites →https://doi.org/10.4018/978-1-60960-102-7.ch002openalex-snapshot
Data Mining Techniques for Outlier Detection
inferredcites →https://doi.org/10.5121/ijcsesopenalex-snapshot
International Journal of Computer Science & Engineering Survey
inferredcites →https://doi.org/10.5121/ijcses.2012.3104openalex-snapshot
Spatiotemporal Data Mining: Issues, Tasks And Applications
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-3-030-14680-1_49openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-11740-9_73openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-46675-0_47openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-99368-3_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-45062-4_11openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-45062-4_23openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-662-48386-2_49openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-10-3957-7_12openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10489-014-0591-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10489-017-1104-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11047-015-9489-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13042-026-03195-1openalex-snapshot
Outlier detection in mixed data: a method based on granular neighborhood discrimination index and weighted distance
inferred← citeshttps://doi.org/10.1007/s41066-015-0005-yopenalex-snapshot
Enforcing situation awareness with granular computing: a systematic overview and new perspectives
inferred← citeshttps://doi.org/10.1007/s43538-025-00616-7openalex-snapshot
Intelligent traffic systems for anomaly detection: a state-of-the-art
inferred← citeshttps://doi.org/10.1016/j.aei.2016.05.005openalex-snapshot
A data mining based load forecasting strategy for smart electrical grids
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112642openalex-snapshot
TIEOD: Three-way concept-based information entropy for outlier detection
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115057openalex-snapshot
A fuzzy information fusion method with fuzzy neighborhood granular for anomaly detection
inferred← citeshttps://doi.org/10.1016/j.cosrev.2023.100554openalex-snapshot
State of the art on quality control for data streams: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106509openalex-snapshot
Convex granules and convex covering rough sets
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108198openalex-snapshot
Attribute granules-based object entropy for outlier detection in nominal data
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114168openalex-snapshot
Fuzzy granule kernel density estimation for outlier detection
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124227openalex-snapshot
Outlier detection for heterogeneous data via fuzzy β covering
inferred← citeshttps://doi.org/10.1016/j.fss.2020.10.017openalex-snapshot
Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection
inferred← citeshttps://doi.org/10.1016/j.fss.2025.109683openalex-snapshot
FNCEOD: Fuzzy neighborhood combination entropy-based outlier detection
inferred← citeshttps://doi.org/10.1016/j.ijar.2023.108971openalex-snapshot
Three-way decision-based co-detection for outliers
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.02.007openalex-snapshot
MFGAD: Multi-fuzzy granules anomaly detection
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104798openalex-snapshot
Multimodal anomaly detection based on multi-kernel fuzzy rough sets
inferred← citeshttps://doi.org/10.1016/j.ins.2016.04.009openalex-snapshot
A novel approach to information fusion in multi-source datasets: A granular computing viewpoint
inferred← citeshttps://doi.org/10.1016/j.ins.2019.07.066openalex-snapshot
Adaptive rough radial basis function neural network with prototype outlier removal
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119950openalex-snapshot
Outlier detection in a multiset-valued information system based on rough set theory and granular computing
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121016openalex-snapshot
Detecting anomalies with granular-ball fuzzy rough sets
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121560openalex-snapshot
Detecting fuzzy-rough conditional anomalies
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122075openalex-snapshot
Anomaly detection based on fuzzy neighborhood rough sets
inferred← citeshttps://doi.org/10.1016/j.knosys.2015.02.018openalex-snapshot
Systematic mapping study on granular computing
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.09.027openalex-snapshot
Outlier factor based partitional clustering analysis with constraints discovery and representative objects generation
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131486openalex-snapshot
A novel mixed-attribute data anomaly detection method based on granular-ball multi-kernel fuzzy rough sets
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.113024openalex-snapshot
Fuzzy rough guided subspace anomaly detection in nominal data
inferred← citeshttps://doi.org/10.1016/j.patrec.2020.07.032openalex-snapshot
Pattern recognition and beyond: Alfredo Petrosino’s scientific results
inferred← citeshttps://doi.org/10.1016/j.trc.2014.07.005openalex-snapshot
Real time traffic flow outlier detection using short-term traffic conditional variance prediction
inferred← citeshttps://doi.org/10.1080/03081079.2022.2132491openalex-snapshot
Outlier detection for set-valued data based on rough set theory and granular computing
inferred← citeshttps://doi.org/10.1080/13658816.2018.1524148openalex-snapshot
A spatial heterogeneity-based rough set extension for spatial data
inferred← citeshttps://doi.org/10.1080/17538947.2016.1194489openalex-snapshot
A variable precision rough set approach to knowledge discovery in land cover classification
inferred← citeshttps://doi.org/10.1108/jmlc-07-2016-0031openalex-snapshot
Autoregressive-based outlier algorithm to detect money laundering activities
inferred← citeshttps://doi.org/10.1109/fuzz48607.2020.9177668openalex-snapshot
The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules
inferred← citeshttps://doi.org/10.1109/globecom38437.2019.9014287openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iaeac47372.2019.8997973openalex-snapshot
Node correlation causal inference of spatio-temporal association data based on Bayesian method
inferred← citeshttps://doi.org/10.1109/icacci.2013.6637419openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccbdai66607.2025.11388327openalex-snapshot
Outlier Detection with Three-Way Granular-Balls
inferred← citeshttps://doi.org/10.1109/iccci.2016.7479984openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icpr.2016.7899940openalex-snapshot
Granular trajectory based anomaly detection for surveillance
inferred← citeshttps://doi.org/10.1109/icspcc.2014.6986180openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jiot.2020.2971237openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jiot.2020.3024763openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jstars.2015.2409131openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/mdm48529.2020.00040openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/nabic.2014.6921892openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2016.2600271openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2021.3058780openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tfuzz.2020.2975152openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tfuzz.2021.3076265openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tfuzz.2024.3393710openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tfuzz.2025.3550749openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tfuzz.2025.3625229openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tgrs.2018.2822783openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tits.2022.3198595openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tkde.2014.2368718openalex-snapshot
2014 Index IEEE Transactions on Knowledge and Data Engineering Vol. 26
inferred← citeshttps://doi.org/10.1109/tkde.2020.2997039openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tkde.2023.3312108openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tkde.2024.3525003openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tkde.2025.3620468openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsmc.2021.3119119openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3498338openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3514221.3522568openalex-snapshot
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inferred← citeshttps://doi.org/10.1155/2018/3719564openalex-snapshot
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inferred← citeshttps://doi.org/10.1177/18724981251313764openalex-snapshot
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inferred← citeshttps://doi.org/10.12720/jcm.13.7.396-405openalex-snapshot
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inferred← citeshttps://doi.org/10.1515/jisys-2024-0347openalex-snapshot
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inferred← citeshttps://doi.org/10.21307/ijssis-2017-796openalex-snapshot
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inferred← citeshttps://doi.org/10.21917/ijsc.2020.0290openalex-snapshot
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inferred← citeshttps://doi.org/10.2991/mmme-16.2016.51openalex-snapshot
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inferred← citeshttps://doi.org/10.3233/jifs-162006openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs14215394openalex-snapshot
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inferred← citeshttps://doi.org/10.4236/ijis.2017.72003openalex-snapshot
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