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ICDE
2006
IEEE
110views Database» more  ICDE 2006»
16 years 8 months ago
Mining Dense Periodic Patterns in Time Series Data
Existing techniques to mine periodic patterns in time series data are focused on discovering full-cycle periodic patterns from an entire time series. However, many useful partial ...
Chang Sheng, Wynne Hsu, Mong-Li Lee
CSE
2009
IEEE
15 years 7 months ago
Mining Mobility Behavior from Trajectory Data
The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes o...
Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Chia...
JCP
2006
111views more  JCP 2006»
15 years 6 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham
FIMI
2004
175views Data Mining» more  FIMI 2004»
15 years 8 months ago
CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
Yudho Giri Sucahyo, Raj P. Gopalan
DAWAK
2010
Springer
15 years 7 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar