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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… 
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Approximation algorithmCURE data clustering algorithmCategory utilityCluster analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Anomaly-based online intrusion detection system as a sensor for cyber security situational awareness system
Kokkonen, Tero Anomaly-Based Online Intrusion Detection System as a Sensor for Cyber Security Situational Awareness System Jyv… 
2014
2014
High-Throughput , Web-Scale Data Stream Clustering
Clustering is an important technique for analysing and interpreting massive quantities of data present on the web. However the… 
2014
2014
An adaptive density-based method for clustering evolving data streams / Amineh Amini
Density-based method has emerged as a worthwhile class for clustering data streams. It has the abilities to discover clusters of… 
2014
2014
Change detection in categorical evolving data streams
Detecting change in evolving data streams is a central issue for accurate adaptive learning. In real world applications, data… 
2011
2011
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data… 
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
Distributed WSN Data Stream Mining Based on Fuzzy Clustering
This paper proposes a distributed wireless sensor network (WSN) data stream clustering algorithm to minimize sensor nodes energy… 
2009
2009
Data stream clustering and modeling using context-trees
Many applications such as telecommunication and commercial video broadcasting streams, computer systems logs, and web clicks are… 
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… 
Review
2005
Review
2005
Mining data streams using clustering
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Due to this reason… 
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