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Data stream mining

Data Stream Mining is the process of extracting knowledge structures from continuous, rapid data records.A data stream is an ordered sequence of… 
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Related topics

Related topics

16 relations
Concept driftEvolving classification functionIncremental heuristic searchLambda architecture

Broader (1)

Data mining

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
A Lossy Counting-Based State of Charge Estimation Method and Its Application to Electric Vehicles
Estimating the residual capacity or state-of-charge (SoC) of commercial batteries on-line without destroying them or interrupting… 
2014
2014
Outlier detection in streaming data a research perspective
Data mining is a system that brings up the light to hidden and valuable information from the data and the facts revealed by data… 
2014
2014
Context-adaptive big data stream mining
Emerging stream mining applications require classification of large data streams generated by single or multiple heterogeneous… 
Review
2014
Review
2014
A Quick Survey on Data Stream Mining
Traditional databases store sets of relatively static records without the concept of time, unless timestamp attributes are… 
2011
2011
Anomalous Network Packet Detection Using Data Stream Mining
In recent years, significant research has been devoted to the development of Intrusion Detection Systems (IDS) able to detect… 
2009
2009
Open Mobile Miner: a toolkit for mobile data stream mining
There is an emerging focus on real-time data stream analysis on mobile/ubiquitous devices. A wide range of data stream processing… 
2008
2008
A Data Stream Mining System
On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining… 
2008
2008
Situation-Aware Adaptive Visualization for Sensory Data Stream Mining
With the emergence of ubiquitous data mining and recent advances in mobile communications, there is a need for visualization… 
2006
2006
Clustering-training for Data Stream Mining
Mining data streams has attracted much attention recently. Labeled samples needed by most current stream classification methods… 
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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