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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… Expand
Wikipedia

Papers overview

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Review
2018
Review
2018
Activity recognition aims to provide accurate and opportune information on people’s activities by leveraging sensory data… Expand
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Highly Cited
2016
Highly Cited
2016
Big Data though it is a hype up-springing many technical challenges that confront both academic research communities and… Expand
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Highly Cited
2014
Highly Cited
2014
Every day, huge volumes of sensory, transactional, and web data are continuously generated as streams, which need to be analyzed… Expand
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Highly Cited
2012
Highly Cited
2012
Sliding window is a widely used model for data stream mining due to its emphasis on recent data and its bounded memory… Expand
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Highly Cited
2010
Highly Cited
2010
Micro-blogs are a challenging new source of information for data mining techniques. Twitter is a micro-blogging service built to… Expand
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Highly Cited
2010
Highly Cited
2010
Data mining is concerned with the process of computationally extracting hidden knowledge structures represented in models and… Expand
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Highly Cited
2009
Highly Cited
2009
This thesis is devoted to the design of data mining algorithms for evolving data streams and for the extraction of closed… Expand
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2009
2009
In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources… Expand
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Highly Cited
2008
Highly Cited
2008
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time… Expand
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Highly Cited
2006
Highly Cited
2006
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges… Expand
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