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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
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Related topics

Related topics

16 relations
Concept driftEvolving classification functionIncremental heuristic searchLambda architecture
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Broader (1)

Data mining

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Activity Recognition with Evolving Data Streams
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
Accelerated PSO Swarm Search Feature Selection for Data Stream Mining Big Data
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
Open challenges for data stream mining research
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
Towards a variable size sliding window model for frequent itemset mining over data streams
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
Sentiment Knowledge Discovery in Twitter Streaming Data
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 Stream Mining
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
Adaptive learning and mining for data streams and frequent patterns
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
Context-aware adaptive data stream mining
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
Finding frequent items in data streams
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
YALE: rapid prototyping for complex data mining tasks
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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