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CIKM
2001
Springer
13 years 10 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
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
14 years 7 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
ICPR
2006
IEEE
14 years 7 months ago
Finding Rule Groups to Classify High Dimensional Gene Expression Datasets
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
Jiyuan An, Yi-Ping Phoebe Chen
HICSS
2006
IEEE
138views Biometrics» more  HICSS 2006»
14 years 23 days ago
An Efficient Algorithm for Real-Time Frequent Pattern Mining for Real-Time Business Intelligence Analytics
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of in...
Rajanish Dass, Ambuj Mahanti
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 7 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda