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» Mining data streams: a review
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JMLR
2010
108views more  JMLR 2010»
13 years 3 months ago
Mining Recurring Concept Drifts with Limited Labeled Streaming Data
Pei-Pei Li, Xindong Wu, Xuegang Hu
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 9 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
KDD
2003
ACM
170views Data Mining» more  KDD 2003»
14 years 9 months ago
Efficient decision tree construction on streaming data
Decision tree construction is a well studied problem in data mining. Recently, there has been much interest in mining streaming data. Domingos and Hulten have presented a one-pass...
Ruoming Jin, Gagan Agrawal
IEAAIE
2009
Springer
14 years 3 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...
KDD
2004
ACM
173views Data Mining» more  KDD 2004»
14 years 2 months ago
Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth?
We present a algorithm based on factor analysis for performing collaborative quality filtering (CQF). Unlike previous approaches to CQF, which estimate the consensus opinion of a...
Jonathan Traupman, Robert Wilensky