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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.
2018
2018
Medical Data-Stream Mining in the Area of Electromagnetic Radiation and Low Temperature Influence on Biological Objects
At this paper medical data stream mining in the area of influence by different fields (electromagnetic radiation and positive low… 
2016
2016
Exploring Data Mining Techniques in Medical Data Streams
Data stream mining has been studied in diverse application domains. In recent years, a population aging is stressing the national… 
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… 
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… 
2006
2006
Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining
Ubiquitous data mining (UDM) allows data mining operations to be performed on continuous data streams using resource limited… 
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… 
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