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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 drift
Evolving classification function
Incremental heuristic search
Lambda architecture
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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
B. Denham
2019
Corpus ID: 199583357
The growing number of “big” datasets present many opportunities for data mining, but also raise a variety of new challenges…
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2013
2013
Data Mining & Data Stream Mining – Open Source Tools
D. Parikh
,
Priyanka Tirkha
2013
Corpus ID: 212600417
: Term of data mining was available in mid of 1990’s. Previously offered through shell script, command line argument, filtering…
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2012
2012
An ensemble classifier method for classifying data streams with recurrent concept drift
Gui-ying Wei
,
Zhang Tao
,
Sen Wu
,
Lei Zou
International Conference on Awareness Science and…
2012
Corpus ID: 28292087
In order to solve the problem that existing ensemble classifier algorithms can't recognize the recurrent concept drift…
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2012
2012
Compact Tree for Associative Classification of Data Stream Mining
C. Bharathi
2012
Corpus ID: 61776195
The data streams have recently emerged to address the problems of continuous data. Mining with data streams is the process of…
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2011
2011
Sensor Network & Weather Data Stream Mining
Hakilo Sabit
,
A. Al-Anbuky
2011
Corpus ID: 130193535
Interest in environmental studies and awareness reflects sustainable growth. This in effect results in growing volume and speed…
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2009
2009
Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data
Tatsuya Minegishi
,
M. Ise
,
A. Niimi
,
O. Konishi
2009
Corpus ID: 55556660
Recently, because of increasing amount of data in the society, data stream mining targeting large scale data has attracted…
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2008
2008
Data stream mining for market-neutral algorithmic trading
G. Montana
,
K. Triantafyllopoulos
,
Theodoros Tsagaris
ACM Symposium on Applied Computing
2008
Corpus ID: 17149095
In algorithmic trading applications, a large number of co-evolving financial data streams are observed and analyzed. A recurrent…
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2006
2006
Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining
Brett Gillick
,
S. Krishnaswamy
,
M. Gaber
,
A. Zaslavsky
International Workshop on Ubiquitous Computing
2006
Corpus ID: 44394727
Ubiquitous data mining (UDM) allows data mining operations to be performed on continuous data streams using resource limited…
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Review
2005
Review
2005
Mining data streams using clustering
Y. Lu
,
Yan-yan Huang
International Conference on Machine Learning and…
2005
Corpus ID: 28065027
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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Review
2005
Review
2005
Survey on data stream mining
Jiang Sheng-yi
2005
Corpus ID: 201894774
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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