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» Mining frequent itemsets in time-varying data streams
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95
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EDBT
2008
ACM
206views Database» more  EDBT 2008»
15 years 9 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
15 years 4 months ago
Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams
Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algor...
Hua-Fu Li, Hsin-Yun Huang, Yi-Cheng Chen, Yu-Jiun ...
54
Voted
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 2 months ago
CP-summary: a concise representation for browsing frequent itemsets
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...
CIVR
2006
Springer
104views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Video Mining with Frequent Itemset Configurations
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
Till Quack, Vittorio Ferrari, Luc J. Van Gool