Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 238,060,749 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
16 relations
Concept drift
Evolving classification function
Incremental heuristic search
Lambda architecture
Expand
Broader (1)
Data mining
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Clustering for Context Inference in the Data Stream Mining
Shinsook Yoon
,
Chang-keun Ryu
2015
Corpus ID: 62477279
In an environment in which several events are sensed in a complex manner and sequentially obtained, a clue can be obtained for…
Expand
Review
2014
Review
2014
A Quick Survey on Data Stream Mining
Poonam Debnath
,
S. Chobe
2014
Corpus ID: 15390381
Traditional databases store sets of relatively static records without the concept of time, unless timestamp attributes are…
Expand
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…
Expand
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…
Expand
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…
Expand
2010
2010
A new method of mining frequent closed trees in data streams
Bo Feng
,
Yajing Xu
,
Na Zhao
,
Huimin Xu
Seventh International Conference on Fuzzy Systems…
2010
Corpus ID: 5180766
In this paper, we present a closed labeled tree mining algorithm, FBMiner, based on the add-remove principle of closed sets which…
Expand
2009
2009
Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data
Tatsuya Minegishi
,
M. Ise
,
Ayahiko 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…
Expand
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…
Expand
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…
Expand
Review
2005
Review
2005
Mining data streams using clustering
Yi-Hong Lu
,
Y. 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…
Expand