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CIKM
2001
Springer
13 years 11 months ago
Sliding-Window Filtering: An Efficient Algorithm for Incremental Mining
We explore in this paper an effective sliding-window filtering (abbreviatedly as SWF) algorithm for incremental mining of association rules. In essence, by partitioning a transact...
Chang-Hung Lee, Cheng-Ru Lin, Ming-Syan Chen
ICDM
2006
IEEE
227views Data Mining» more  ICDM 2006»
14 years 1 months ago
Incremental Mining of Sequential Patterns over a Stream Sliding Window
Incremental mining of sequential patterns from data streams is one of the most challenging problems in mining data streams. However, previous work of mining sequential patterns fr...
Chin-Chuan Ho, Hua-Fu Li, Fang-Fei Kuo, Suh-Yin Le...
JIIS
2008
133views more  JIIS 2008»
13 years 7 months ago
Maintaining frequent closed itemsets over a sliding window
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...
James Cheng, Yiping Ke, Wilfred Ng
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
14 years 1 months ago
STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
PAMI
2002
164views more  PAMI 2002»
13 years 7 months ago
Efficient Dilation, Erosion, Opening, and Closing Algorithms
We propose an efficient and deterministic algorithm for computing the one-dimensional dilation and erosion (max and min) sliding window filters. For a p-element sliding window, our...
Joseph Gil, Ron Kimmel