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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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Algorithm
Clickstream
Streaming algorithm
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Mining Prominent Closed Frequent Item sets from Data Streams using Dynamic and Adaptive Minimum Support Threshold
S. PavitraBai
,
K. RavikumarG
2018
Corpus ID: 201127000
Prominent closed frequent itemsets (CFIs) are the set of highly frequent closed itemsets whose support is considerably larger…
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2015
2015
A Lossy Counting-Based State of Charge Estimation Method and Its Application to Electric Vehicles
Hong Zhang
,
Li Zhao
,
Yong Chen
2015
Corpus ID: 3017618
Estimating the residual capacity or state-of-charge (SoC) of commercial batteries on-line without destroying them or interrupting…
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2012
2012
Parallelizing the Weighted Lossy Counting Algorithm in High-speed Network Monitoring
Yu Zhang
Second International Conference on…
2012
Corpus ID: 38601451
With the ever increasing of network traffic and link bandwidth, parallel frequent item mining becomes more and more important in…
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2011
2011
A load shedding scheme for frequent pattern mining in transactional data streams
K. Jea
,
Chao-Wei Li
,
Chih-Wei Hsu
,
Ru-Ping Lin
,
Ssu-Fan Yen
International Conference on Fuzzy Systems and…
2011
Corpus ID: 1579004
In this paper, we study overload handling for frequent-pattern mining in online data streams. For a mining system with an e…
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2009
2009
Frequent Items Mining on Data Stream Based on Time Fading Factor
Shan Zhang
,
Ling Chen
,
Li Tu
International Conference on Artificial…
2009
Corpus ID: 6189116
Most of the existing algorithms for mining frequent items on data stream do not emphasis the importance of the recent data items…
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2009
2009
Discovering frequent itemsets over transactional data streams through an efficient and stable approximate approach
K. Jea
,
Chao-Wei Li
Expert systems with applications
2009
Corpus ID: 7323924
2007
2007
State-of-the-art in data stream mining
M. Gaber
,
João Gama
2007
Corpus ID: 61791112
2007
2007
TCAM-conscious Algorithms for Data Streams
Nagender Bandi
,
Ahmed A. Metwally
,
D. Agrawal
,
A. El Abbadi
IEEE International Conference on Data Engineering
2007
Corpus ID: 17945678
There has been significant interest in developing space and time efficient solutions for answering continuous summarization…
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2007
2007
Adaptive Frequency Counting over Bursty Data Streams
Bill Lin
,
Wai-Shing Ho
,
B. Kao
,
C. Chui
IEEE Symposium on Computational Intelligence and…
2007
Corpus ID: 16261211
We investigate the problem of frequent itemset mining over a data stream with bursty traffic. In many modern applications, data…
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2004
2004
Research on arithmetic frequent datasets over data stream
Luo Dan
2004
Corpus ID: 63187121
Mining frequent items over data stream is an important problem of research,which is the foundation of several other researches…
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