Efficient Estimation of Dynamic Density Functions with Applications in Streaming Data
Recent advances in computing technology allow for collecting vast amount of data that arrive continuously in the form of streams. Mining data streams is challenged by the speed and volume of the arriving data. Furthermore, the underlying distribution of the data changes over the time in unpredicted...
Main Author: | Qahtan, Abdulhakim Ali Ali |
---|---|
Other Authors: | Zhang, Xiangliang |
Language: | en |
Published: |
2016
|
Subjects: | |
Online Access: | Qahtan, A. A. A. (2016). Efficient Estimation of Dynamic Density Functions with Applications in Streaming Data. KAUST Research Repository. https://doi.org/10.25781/KAUST-F235N http://hdl.handle.net/10754/609049 |
Similar Items
-
Efficient Algorithms for Mining Data Streams
by: Boedihardjo, Arnold Priguna
Published: (2014) -
FlexSketch: Estimation of Probability Density for Stationary and Non-Stationary Data Streams
by: Namuk Park, et al.
Published: (2021-02-01) -
Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming
by: Rahimi, Sara
Published: (2013) -
Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly Detection
by: Michael R. Lindstrom, et al.
Published: (2020-11-01) -
Research on Dynamic Data Stream Classification Algorithm with New Class
by: WU Weijie, ZHANG Jingxiang
Published: (2021-01-01)