Skip to search formSkip to main contentSkip to account menu

Data stream clustering

In computer science, data stream clustering is defined as the clustering of data that arrive continuously such as telephone records, multimedia data… 
Wikipedia (opens in a new tab)

Related topics

Related topics

10 relations
Approximation algorithmCURE data clustering algorithmCategory utilityCluster analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R
In recent years, data streams have become an increasingly important area of research for the computer science, database and… 
Highly Cited
2013
Highly Cited
2013
SVStream: A Support Vector-Based Algorithm for Clustering Data Streams
In this paper, we propose a novel data stream clustering algorithm, termed SVStream, which is based on support vector domain… 
2013
2013
Online clustering for trajectory data stream of moving objects
Trajectory data streams contain huge amounts of data pertaining to the time and position of moving objects. It is crucial to… 
2013
2013
Different Aspects of Data Stream Clustering
Nowadays the growth of the datasets size causes some difficulties to extract useful information and knowledge especially in… 
Highly Cited
2012
Highly Cited
2012
Density-Based Projected Clustering of Data Streams
In this paper, we have proposed, developed and experimentally validated our novel subspace data stream clustering, termed… 
2010
2010
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA
In today's applications, evolving data streams are ubiquitous. Stream clustering algorithms were introduced to gain useful… 
2009
2009
Research and Implementation of Network Transmission Situation Awareness
In recent years, Network Situation Awareness mainly concentrates on the security field, but there’s no research on Network… 
2007
2007
Anomaly detection in a mobile communication network
Abstract Mobile communication networks produce massive amounts of data which may be useful in identifying the location of an… 
2007
2007
Clustering Geometric Data Streams
Using recent knowledge in data stream clustering we present a modified approach to the facility location problem in the context… 
2004
2004
Clustering categorical data streams
In this paper, we propose an efficient clustering algorithm for analyzing categorical data streams. It has been proved that the… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)