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SVStream: A Support Vector-Based Algorithm for Clustering Data Streams
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10115-011-0416-2openalex-snapshot
Conscience online learning: an efficient approach for robust kernel-based clustering
inferredcites →https://doi.org/10.1007/s10618-005-0645-7openalex-snapshot
On High Dimensional Projected Clustering of Data Streams
inferredcites →https://doi.org/10.1016/b978-012088469-8.50075-9openalex-snapshot
A Framework for Projected Clustering of High Dimensional Data Streams
inferredcites →https://doi.org/10.1016/b978-012722442-8/50016-1openalex-snapshot
A Framework for Clustering Evolving Data Streams
inferredcites →https://doi.org/10.1016/j.datak.2008.08.006openalex-snapshot
Incremental clustering of dynamic data streams using connectivity based representative points
inferredcites →https://doi.org/10.1016/s0167-8655(99)00087-2openalex-snapshot
Support vector domain description
inferredcites →https://doi.org/10.1023/a:1009783824328openalex-snapshot
BIRCH: A New Data Clustering Algorithm and Its Applications
inferredcites →https://doi.org/10.1080/01621459.1971.10482356openalex-snapshot
Objective Criteria for the Evaluation of Clustering Methods
inferredcites →https://doi.org/10.1093/biomet/41.1-2.100openalex-snapshot
CONTINUOUS INSPECTION SCHEMES
inferredcites →https://doi.org/10.1093/biomet/58.3.509openalex-snapshot
Inference about the Change-Point from Cumulative Sum Tests
inferredcites →https://doi.org/10.1109/icde.2007.367919openalex-snapshot
Distributed Data Stream Clustering: A Fast EM-based Approach
inferredcites →https://doi.org/10.1109/icde.2008.4497522openalex-snapshot
Approximate Clustering on Distributed Data Streams
inferredcites →https://doi.org/10.1109/icdm.2001.989572openalex-snapshot
Incremental support vector machine construction
inferredcites →https://doi.org/10.1109/icdm.2007.100openalex-snapshot
Incremental Subspace Clustering over Multiple Data Streams
inferredcites →https://doi.org/10.1109/icdm.2010.125openalex-snapshot
Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams
inferredcites →https://doi.org/10.1109/icdm.2010.57openalex-snapshot
A Conscience On-line Learning Approach for Kernel-Based Clustering
inferredcites →https://doi.org/10.1109/iconip.2002.1198191openalex-snapshot
Support vector clustering through proximity graph modelling
inferredcites →https://doi.org/10.1109/tkde.2003.1198387openalex-snapshot
Clustering data streams: theory and practice
inferredcites →https://doi.org/10.1109/tkde.2004.1269599openalex-snapshot
A fourier spectrum-based approach to represent decision trees for mining data streams in mobile environments
inferredcites →https://doi.org/10.1109/tkde.2005.78openalex-snapshot
On change diagnosis in evolving data streams
inferredcites →https://doi.org/10.1109/tkde.2006.69openalex-snapshot
A framework for on-demand classification of evolving data streams
inferredcites →https://doi.org/10.1109/tkde.2006.73openalex-snapshot
Approximate processing of massive continuous quantile queries over high-speed data streams
inferredcites →https://doi.org/10.1109/tkde.2007.1057openalex-snapshot
A Low-Granularity Classifier for Data Streams with Concept Drifts and Biased Class Distribution
inferredcites →https://doi.org/10.1109/tkde.2008.181openalex-snapshot
Adapted One-versus-All Decision Trees for Data Stream Classification
inferredcites →https://doi.org/10.1109/tkde.2009.140openalex-snapshot
Dynamic Dissimilarity Measure for Support-Based Clustering
inferredcites →https://doi.org/10.1109/tpami.2005.47openalex-snapshot
An improved cluster labeling method for support vector clustering
inferredcites →https://doi.org/10.1109/tpami.2006.225openalex-snapshot
Dynamic Characterization of Cluster Structures for Robust and Inductive Support Vector Clustering
inferredcites →https://doi.org/10.1109/tsmcb.2010.2042445openalex-snapshot
Active Learning From Stream Data Using Optimal Weight Classifier Ensemble
inferredcites →https://doi.org/10.1126/science.1136800openalex-snapshot
Clustering by Passing Messages Between Data Points
inferredcites →https://doi.org/10.1137/1.9781611972764.29openalex-snapshot
Density-Based Clustering over an Evolving Data Stream with Noise
inferredcites →https://doi.org/10.1145/1081870.1081961openalex-snapshot
Combining proactive and reactive predictions for data streams
inferredcites →https://doi.org/10.1145/1281192.1281210openalex-snapshot
Density-based clustering for real-time stream data
inferredcites →https://doi.org/10.1145/1401890.1401987openalex-snapshot
Categorizing and mining concept drifting data streams
inferredcites →https://doi.org/10.1145/1552303.1552305openalex-snapshot
Stream data clustering based on grid density and attraction
inferredcites →https://doi.org/10.1145/312129.312267openalex-snapshot
Handling concept drifts in incremental learning with support vector machines
inferredcites →https://doi.org/10.1145/773153.773176openalex-snapshot
Maintaining variance and k-medians over data stream windows
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781119597568.ch2openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/sec.1084openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-36204-1_34openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-95239-6_8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-18032-8_11openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-18476-0_30openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-22729-0_21openalex-snapshot
StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams
inferred← citeshttps://doi.org/10.1007/978-3-319-24211-8_11openalex-snapshot
Nonlinear Clustering: Methods and Applications
inferred← citeshttps://doi.org/10.1007/978-3-319-47898-2_25openalex-snapshot
Parallel Computing TEDA for High Frequency Streaming Data Clustering
inferred← citeshttps://doi.org/10.1007/978-3-319-93037-4_38openalex-snapshot
MicroGRID: An Accurate and Efficient Real-Time Stream Data Clustering with Noise
inferred← citeshttps://doi.org/10.1007/978-3-642-38067-9_20openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-10-3874-7_64openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00500-018-3627-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00521-020-05184-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10115-013-0724-9openalex-snapshot
Fast and scalable support vector clustering for large-scale data analysis
inferred← citeshttps://doi.org/10.1007/s10115-019-01350-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10115-023-02002-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10994-023-06403-zopenalex-snapshot
Cost-sensitive sparse group online learning for imbalanced data streams
inferred← citeshttps://doi.org/10.1007/s11227-023-05874-0openalex-snapshot
Ontology-based recommender system: a deep learning approach
inferred← citeshttps://doi.org/10.1007/s12530-026-09877-zopenalex-snapshot
Edgecluster: an evolving data stream clustering at the edge
inferred← citeshttps://doi.org/10.1007/s12599-019-00576-5openalex-snapshot
Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms
inferred← citeshttps://doi.org/10.1007/s13042-025-02531-1openalex-snapshot
Large-Scale Stream k-means based on Product-Quantized codes
inferred← citeshttps://doi.org/10.1007/s40313-021-00819-5openalex-snapshot
Classification of Lathe’s Cutting Tool Wear Based on an Autonomous Machine Learning Model
inferred← citeshttps://doi.org/10.1016/j.energy.2016.07.092openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2023.07.027openalex-snapshot
ARD-Stream: An adaptive radius density-based stream clustering
inferred← citeshttps://doi.org/10.1016/j.ins.2015.03.027openalex-snapshot
Re-Stream: Real-time and energy-efficient resource scheduling in big data stream computing environments
inferred← citeshttps://doi.org/10.1016/j.ins.2017.09.025openalex-snapshot
Self-Organised direction aware data partitioning algorithm
inferred← citeshttps://doi.org/10.1016/j.ins.2018.05.030openalex-snapshot
A method for autonomous data partitioning
inferred← citeshttps://doi.org/10.1016/j.ins.2026.124164openalex-snapshot
An efficient density peaks clustering guided by extreme points
inferred← citeshttps://doi.org/10.1016/j.jcss.2016.10.010openalex-snapshot
Building a fault tolerant framework with deadline guarantee in big data stream computing environments
inferred← citeshttps://doi.org/10.1016/j.jpdc.2016.06.004openalex-snapshot
Distributed stream clustering using micro-clusters on Apache Storm
inferred← citeshttps://doi.org/10.1016/j.knosys.2016.02.004openalex-snapshot
Hyper-cylindrical micro-clustering for streaming data with unscheduled data removals
inferred← citeshttps://doi.org/10.1016/j.mex.2021.101571openalex-snapshot
A divided and prioritized experience replay approach for streaming regression
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.05.094openalex-snapshot
Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.03.071openalex-snapshot
How many clusters? A robust PSO-based local density model
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.09.054openalex-snapshot
Supervised Adaptive Incremental Clustering for data stream of chunks
inferred← citeshttps://doi.org/10.1016/j.neunet.2016.02.003openalex-snapshot
A new Growing Neural Gas for clustering data streams
inferred← citeshttps://doi.org/10.1016/j.patcog.2012.09.018openalex-snapshot
Position regularized Support Vector Domain Description
inferred← citeshttps://doi.org/10.1016/j.patcog.2013.08.025openalex-snapshot
Multi-local model image set matching based on domain description
inferred← citeshttps://doi.org/10.1016/j.patcog.2016.03.010openalex-snapshot
Online frame-based clustering with unknown number of clusters
inferred← citeshttps://doi.org/10.1016/j.patcog.2016.12.003openalex-snapshot
Ground truth bias in external cluster validity indices
inferred← citeshttps://doi.org/10.1016/j.procs.2014.05.350openalex-snapshot
Clustering Text Data Streams – A Tree based Approach with Ternary Function and Ternary Feature Vector
inferred← citeshttps://doi.org/10.1016/j.protcy.2015.02.126openalex-snapshot
A Novel Gaussian Based Similarity Measure for Clustering Customer Transactions Using Transaction Sequence Vector
inferred← citeshttps://doi.org/10.1109/access.2018.2864553openalex-snapshot
Dynamic Clustering Scheme for Evolving Data Streams Based on Improved STRAP
inferred← citeshttps://doi.org/10.1109/access.2022.3167031openalex-snapshot
Double Weighted Ensemble Clustering for Cancer Subtypes Analysis
inferred← citeshttps://doi.org/10.1109/access.2023.3275561openalex-snapshot
Entropy-Aware Similarity for Balanced Clustering: A Case Study With Melanoma Detection
inferred← citeshttps://doi.org/10.1109/access.2025.3596435openalex-snapshot
On Evaluation of Data Stream Clustering Algorithms: A Survey
inferred← citeshttps://doi.org/10.1109/access.2026.3732965openalex-snapshot
Design and Implementation of a Scalable FPGA-Based Architecture for CluStream Data Stream Processing
inferred← citeshttps://doi.org/10.1109/bigdataservice.2016.12openalex-snapshot
Weighted Multi-view On-Line Competitive Clustering
inferred← citeshttps://doi.org/10.1109/icait.2017.8388945openalex-snapshot
Ensemble clustering model of hyperspectral image segmentation
inferred← citeshttps://doi.org/10.1109/iciet48527.2019.9290584openalex-snapshot
A Data Mining Framework for Social Graph Generation and Analysis
inferred← citeshttps://doi.org/10.1109/icpr.2016.7899674openalex-snapshot
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation
inferred← citeshttps://doi.org/10.1109/ijcnn.2015.7280397openalex-snapshot
Growing Hierarchical Trees for Data Stream clustering and visualization
inferred← citeshttps://doi.org/10.1109/ijcnn.2017.7966237openalex-snapshot
Weighted numerical and categorical attribute clustering in data streams
inferred← citeshttps://doi.org/10.1109/ojsp.2021.3051453openalex-snapshot
Fast Sequential Clustering in Riemannian Manifolds for Dynamic and Time-Series-Annotated Multilayer Networks
inferred← citeshttps://doi.org/10.1109/smc.2016.7844394openalex-snapshot
Autonomous data-driven clustering for live data stream
inferred← citeshttps://doi.org/10.1109/taslp.2017.2711059openalex-snapshot
Real-Time Unsupervised Classification of Environmental Noise Signals
inferred← citeshttps://doi.org/10.1109/tbdata.2019.2922969openalex-snapshot
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams
inferred← citeshttps://doi.org/10.1109/tcyb.2017.2702343openalex-snapshot
Locally Weighted Ensemble Clustering
inferred← citeshttps://doi.org/10.1109/tkde.2013.153openalex-snapshot
NEIWalk: Community Discovery in Dynamic Content-Based Networks
inferred← citeshttps://doi.org/10.1109/tkde.2021.3135755openalex-snapshot
Classification in Dynamic Data Streams With a Scarcity of Labels
inferred← citeshttps://doi.org/10.1109/tnnls.2019.2944851openalex-snapshot
MVStream: Multiview Data Stream Clustering
inferred← citeshttps://doi.org/10.1109/tpami.2018.2794446openalex-snapshot
Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data
inferred← citeshttps://doi.org/10.1109/tsmc.2018.2876202openalex-snapshot
Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities
inferred← citeshttps://doi.org/10.1117/1.jei.33.5.053058openalex-snapshot
Multi-view streaming clustering with incremental anchor learning
inferred← citeshttps://doi.org/10.1117/12.3057814openalex-snapshot
Density peak clustering algorithm based on fusing k-nearest neighbors and inverse neighbors
inferred← citeshttps://doi.org/10.1142/s0218001414500153openalex-snapshot
A HYBRID CLUSTERING ALGORITHM COMBINING CLOUD MODEL IWO AND K-MEANS
inferred← citeshttps://doi.org/10.1142/s0218001415500020openalex-snapshot
Recent Advances in Support Vector Clustering: Theory and Applications
inferred← citeshttps://doi.org/10.1145/2556871.2556935openalex-snapshot
Mining Top-K Rank Frequent Patterns in Data Streams A Tree Based Approach with Ternary Function and Ternary Feature Vector
inferred← citeshttps://doi.org/10.1145/2851613.2851652openalex-snapshot
A support vector based approach for classification beyond the learned label space in data streams
inferred← citeshttps://doi.org/10.1145/3494832openalex-snapshot
Scarcity of Labels in Non-Stationary Data Streams: A Survey
inferred← citeshttps://doi.org/10.11591/ijece.v9i4.pp2659-2667openalex-snapshot
An Improved Differential Evolution Algorithm for Data Stream Clustering
inferred← citeshttps://doi.org/10.1186/s41044-016-0011-3openalex-snapshot
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inferred← citeshttps://doi.org/10.12677/fin.2016.63011openalex-snapshot
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inferred← citeshttps://doi.org/10.14419/ijet.v7i4.23153openalex-snapshot
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inferred← citeshttps://doi.org/10.17635/lancaster/thesis/407openalex-snapshot
Self-organising transparent learning system
inferred← citeshttps://doi.org/10.22214/ijraset.2020.31386openalex-snapshot
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inferred← citeshttps://doi.org/10.22214/ijraset.2020.5427openalex-snapshot
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inferred← citeshttps://doi.org/10.31224/osf.io/9dy5xopenalex-snapshot
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inferred← citeshttps://doi.org/10.3233/jifs-169597openalex-snapshot
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inferred← citeshttps://doi.org/10.3233/jifs-181347openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/978-1-5225-5097-6.ch012openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1604.05274openalex-snapshot
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inferred← citeshttps://doi.org/10.5120/16798-6511openalex-snapshot
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inferred← citeshttps://doi.org/10.58837/chula.the.2016.1480openalex-snapshot
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inferred← citeshttps://doi.org/10.70675/cc4cb21fz9525z4aa7z8e74zc991b411ba56openalex-snapshot
Apprentissage non supervisé de flux de données massives : application aux Big Data d'assurance
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