KDE-Track: An Efficient Dynamic Density Estimator for Data Streams

IEEE Transactions on Knowledge and Data Engineering - United States
doi 10.1109/tkde.2016.2626441
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

An Incremental Kernel Density Estimator for Data Stream Computation

Complexity
MultidisciplinaryComputer Science
2020English

An Efficient Estimator for Gibbs Random Fields

Kybernetika
ControlSystems EngineeringInformation SystemsElectronic EngineeringElectricalTheoretical Computer ScienceArtificial IntelligenceSoftware
2014English

An Efficient Reversible Privacy-Preserving Data Mining Technology Over Data Streams

SpringerPlus
Multidisciplinary
2016English

An Arbitrary Shape Clustering Algorithm Over Variable Density Data Streams

Journal of Algorithms and Computational Technology
Computational MathematicsApplied MathematicsNumerical Analysis
2016English

: An Adaptive Classifier for Data Streams

Pattern Recognition
Signal ProcessingComputer VisionPattern RecognitionArtificial IntelligenceSoftware
2011English

An Efficient Algorithm for Density Based Subspace Clustering With Dynamic Parameter Setting

International Journal of Information Technology and Computer Science
2017English

Pattern Identification for State Prediction in Dynamic Data Streams

2017English

Self-Tuning, Bandwidth-Aware Monitoring for Dynamic Data Streams

Proceedings - International Conference on Data Engineering
Information SystemsSignal ProcessingSoftware
2009English

Projection Minimum Distance: An Estimator for Dynamic Macroeconomic Models

SSRN Electronic Journal
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy