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On change diagnosis in evolving data streams
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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.2001.1808openalex-snapshot
A Framework for Measuring Differences in Data Characteristics
inferredcites →https://doi.org/10.1007/3-540-48482-5_2openalex-snapshot
Research Issues in Spatio-temporal Database Systems
inferredcites →https://doi.org/10.1007/978-1-4899-3324-9openalex-snapshot
Density Estimation for Statistics and Data Analysis
inferredcites →https://doi.org/10.1007/978-94-015-8163-9openalex-snapshot
Nonparametric Methods in Change-Point Problems
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/10.1109/icde.1996.492094openalex-snapshot
Maintenance of discovered association rules in large databases: an incremental updating technique
inferredcites →https://doi.org/10.1109/icde.2000.839383openalex-snapshot
Online data mining for co-evolving time sequences
inferredcites →https://doi.org/10.1109/icde.2000.839394openalex-snapshot
Dynamic Histograms: Capturing Evolving Data Sets
inferredcites →https://doi.org/10.1109/icde.2002.994785openalex-snapshot
Streaming-data algorithms for high-quality clustering
inferredcites →https://doi.org/10.1145/1014052.1014110openalex-snapshot
On demand classification of data streams
inferredcites →https://doi.org/10.1145/253260.253266openalex-snapshot
Meaningful change detection in structured data
inferredcites →https://doi.org/10.1145/253262.253266openalex-snapshot
Meaningful change detection in structured data
inferredcites →https://doi.org/10.1145/303976.303989openalex-snapshot
A framework for measuring changes in data characteristics
inferredcites →https://doi.org/10.1145/344788.344789openalex-snapshot
Evolution and change in data management — issues and directions
inferredcites →https://doi.org/10.1145/502512.502529openalex-snapshot
Mining time-changing data streams
inferredcites →https://doi.org/10.1145/507515.507517openalex-snapshot
Mining data streams under block evolution
inferredcites →https://doi.org/10.1145/775047.775061openalex-snapshot
Bursty and hierarchical structure in streams
inferredcites →https://doi.org/10.1145/775060.775061openalex-snapshot
Bursty and hierarchical structure in streams
inferredcites →https://doi.org/10.1145/776985.776986openalex-snapshot
Issues in data stream management
inferredcites →https://doi.org/10.1145/872757.872826openalex-snapshot
A framework for diagnosing changes in evolving data streams
inferredcites →https://doi.org/10.1145/872824.872826openalex-snapshot
A framework for diagnosing changes in evolving data streams
inferredcites →https://doi.org/10.1145/956750.956789openalex-snapshot
Efficient elastic burst detection in data streams
inferredcites →https://doi.org/10.1201/9781315140919openalex-snapshot
Density Estimation for Statistics and Data Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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DSEC: A Data Stream Engine Based Clinical Information System
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Discovering Emerging Topics in Unlabelled Text Collections
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Modeling Evolving User Behavior via Sequential Clustering
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Outlier Detection for Temporal Data
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Mining Temporal Evolution of Entities in a Stream of Textual Documents
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Monitoring Clusters in the Telecom Industry
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Measuring Behavioural Change of Players in Public Goods Game
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Anomaly Intrusion Detection for Evolving Data Stream Based on Semi-supervised Learning
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Bipartite Graphs for Monitoring Clusters Transitions
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Tracing Evolving Clusters by Subspace and Value Similarity
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Summarizing Cluster Evolution in Dynamic Environments
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Density Based Subspace Clustering over Dynamic Data
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The Algorithm APT to Classify in Concurrence of Latency and Drift
inferred← citeshttps://doi.org/10.1007/s00778-009-0134-5openalex-snapshot
HE-Tree: a framework for detecting changes in clustering structure for categorical data streams
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Tracing Evolving Subspace Clusters in Temporal Climate Data
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Mining trajectories of moving dynamic spatio-temporal regions in sensor datasets
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Temporal density extrapolation using a dynamic basis approach
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A Multivariate Statistical Analysis of Equitable and Sustainable Well-Being Over Time
inferred← citeshttps://doi.org/10.1007/s11334-017-0290-5openalex-snapshot
A dynamic model for short-term prediction of stream attributes
inferred← citeshttps://doi.org/10.1007/s43926-026-00393-9openalex-snapshot
Event-driven online adaptation for microclimate control via meta-learning and evolutionary optimization
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.114318openalex-snapshot
Analysis of concept drift in fake reviews detection
inferred← citeshttps://doi.org/10.1016/j.ins.2009.06.036openalex-snapshot
Multivariable stream data classification using motifs and their temporal relations
inferred← citeshttps://doi.org/10.1016/j.knosys.2014.02.004openalex-snapshot
Incremental entropy-based clustering on categorical data streams with concept drift
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.04.047openalex-snapshot
Three-layer concept drifting detection in text data streams
inferred← citeshttps://doi.org/10.1088/1742-6596/1706/1/012151openalex-snapshot
Ensemble Method to classify multi class with concept drift
inferred← citeshttps://doi.org/10.1109/fuzz-ieee60900.2024.10612204openalex-snapshot
Fuzzy-Enhanced Analysis of Streaming Clustering: Exploring Drift and Growth of Clusters
inferred← citeshttps://doi.org/10.1109/icacsis.2014.7065820openalex-snapshot
Relative density estimation using Self-Organizing Maps
inferred← citeshttps://doi.org/10.1109/icdmw.2010.49openalex-snapshot
Change with Delayed Labeling: When is it Detectable?
inferred← citeshttps://doi.org/10.1109/iceie.2010.5559772openalex-snapshot
A DWT based time series outlier data mining algorithm
inferred← citeshttps://doi.org/10.1109/iscc.2008.4625751openalex-snapshot
Probability Density Estimation over evolving data streams using Tilted Parzen Window
inferred← citeshttps://doi.org/10.1109/tkde.2006.137openalex-snapshot
Adaptive Clustering for Multiple Evolving Streams
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SVStream: A Support Vector-Based Algorithm for Clustering Data Streams
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Nonparametric and Online Change Detection in Multivariate Datastreams Using QuantTree
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Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation
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Detecting the Change of Clustering Structure in Categorical Data Streams
inferred← citeshttps://doi.org/10.1145/1281192.1281197openalex-snapshot
Efficient and effective explanation of change in hierarchical summaries
inferred← citeshttps://doi.org/10.1145/1540276.1540278openalex-snapshot
On exploiting the power of time in data mining
inferred← citeshttps://doi.org/10.1145/1723028.1723036openalex-snapshot
Efficient decision tree construction for mining time-varying data streams
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Towards subspace clustering on dynamic data
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Quantile index for gradual and abrupt change detection from CFB boiler sensor data in online settings
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Change detection in streaming data in the era of big data
inferred← citeshttps://doi.org/10.1145/3106369openalex-snapshot
Data Stream Evolution Diagnosis Using Recursive Wavelet Density Estimators
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ENIDrift: A Fast and Adaptive Ensemble System for Network Intrusion Detection under Real-world Drift
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A Survey of Stream Clustering Algorithms
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A framework for flexible clustering of multiple evolving data streams
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Outlier Detection for Temporal Data
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Structural Generative Descriptions for Temporal Data
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Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion
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MEC – Monitoring Clusters' Transitions
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A framework to monitor clusters evolution applied to economy and finance problems
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Pattern Comparison in Data Mining
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Scalable Data Analysis Application to Web Usage Data
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Optimising Rule-Based Classification in Temporal Data
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Adaptive Scalable Online Learning for Handling Heterogeneous Streaming Data in Large-Scale Banking Infrastructure
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