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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.
2019
2019
Novel methods for distributed and privacy-preserving data stream mining
The growing number of “big” datasets present many opportunities for data mining, but also raise a variety of new challenges… 
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… 
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… 
2013
2013
Data Mining & Data Stream Mining â Open Source Tools
Term of data mining was available in mid of 1990’s. Previously offered through shell script, command line argument, filtering… 
2012
2012
An ensemble classifier method for classifying data streams with recurrent concept drift
In order to solve the problem that existing ensemble classifier algorithms can't recognize the recurrent concept drift… 
2011
2011
Sensor Network & Weather Data Stream Mining
Interest in environmental studies and awareness reflects sustainable growth. This in effect results in growing volume and speed… 
2009
2009
Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data
Recently, because of increasing amount of data in the society, data stream mining targeting large scale data has attracted… 
2008
2008
Data stream mining for market-neutral algorithmic trading
In algorithmic trading applications, a large number of co-evolving financial data streams are observed and analyzed. A recurrent… 
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… 
Review
2005
Review
2005
Survey on data stream mining
Data stream mining is a new research aspect of data mining. It has be come a useful tool for many fields. The essential…