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JCP
2006
111views more  JCP 2006»
15 years 1 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
EDBT
2002
ACM
159views Database» more  EDBT 2002»
16 years 1 months ago
Cut-and-Pick Transactions for Proxy Log Mining
Web logs collected by proxy servers, referred to as proxy logs or proxy traces, contain information about Web document accesses by many users against many Web sites. This "man...
Wenwu Lou, Guimei Liu, Hongjun Lu, Qiang Yang
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
14 years 11 months ago
Clustering Trajectories of Moving Objects in an Uncertain World
Mining Trajectory Databases (TD) has recently gained great interest due to the popularity of tracking devices. On the other hand, the inherent presence of uncertainty in TD (e.g.,...
Nikos Pelekis, Ioannis Kopanakis, Evangelos E. Kot...
JDCTA
2010
464views more  JDCTA 2010»
14 years 8 months ago
A New Agglomerative Hierarchical Clustering Algorithm Implementation based on the Map Reduce Framework
Text clustering is one of the difficult and hot research fields in the text mining research. Combing Map Reduce framework and the neuron initialization method of VPSOM (vector pre...
Hui Gao, Jun Jiang, Li She, Yan Fu
DAWAK
1999
Springer
15 years 6 months ago
Mining Interval Time Series
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...