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Lossy Count Algorithm

The lossy count algorithm is an algorithm to identify elements in a data stream whose frequency count exceed a user-given threshold. The frequency… 
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Papers overview

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2018
2018
Prominent closed frequent itemsets (CFIs) are the set of highly frequent closed itemsets whose support is considerably larger… 
2015
2015
Estimating the residual capacity or state-of-charge (SoC) of commercial batteries on-line without destroying them or interrupting… 
2012
2012
  • Yu Zhang
  • 2012
  • Corpus ID: 38601451
With the ever increasing of network traffic and link bandwidth, parallel frequent item mining becomes more and more important in… 
2011
2011
In this paper, we study overload handling for frequent-pattern mining in online data streams. For a mining system with an e… 
2009
2009
Most of the existing algorithms for mining frequent items on data stream do not emphasis the importance of the recent data items… 
2007
2007
There has been significant interest in developing space and time efficient solutions for answering continuous summarization… 
2007
2007
We investigate the problem of frequent itemset mining over a data stream with bursty traffic. In many modern applications, data… 
2004
2004
Mining frequent items over data stream is an important problem of research,which is the foundation of several other researches…