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» Online Algorithms for Mining Semi-structured Data Stream
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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 2 months ago
GraphScope: parameter-free mining of large time-evolving graphs
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
Jimeng Sun, Christos Faloutsos, Spiros Papadimitri...
ICDM
2007
IEEE
254views Data Mining» more  ICDM 2007»
15 years 8 months ago
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...
Chedy Raïssi, Pascal Poncelet
JCST
2007
76views more  JCST 2007»
15 years 1 months ago
A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams
Xuegang Hu, Pei-Pei Li, Xindong Wu, Gong-Qing Wu
IEAAIE
2009
Springer
15 years 8 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...
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CIKM
2009
Springer
15 years 8 months ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu