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» Algorithms for dynamic geometric problems over data streams
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JUCS
2006
116views more  JUCS 2006»
13 years 5 months ago
Extension of CQL over Dynamic Databases
: CQL, Continuous Query Language is suitable for data stream queries. Sometimes it is better if the queries operate on relational databases and data streams simultaneously. The exe...
Antal Buza
KAIS
2008
150views more  KAIS 2008»
13 years 5 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
IEAAIE
2009
Springer
14 years 10 days 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...
DEXA
2008
Springer
130views Database» more  DEXA 2008»
13 years 7 months ago
Classifying Evolving Data Streams Using Dynamic Streaming Random Forests
We consider the problem of data-stream classification, introducing a stream-classification algorithm, Dynamic Streaming Random Forests, that is able to handle evolving data streams...
Hanady Abdulsalam, David B. Skillicorn, Patrick Ma...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 3 days ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010