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» Clustering Stream Data by Regression Analysis
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APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
14 years 11 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
ICTAI
2007
IEEE
15 years 3 months ago
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data
In this paper we present a new approach for curve clustering designed for analysis of spatiotemporal data. Such kind of data contains both spatial and temporal patterns that we de...
Konstantinos Blekas, Christophoros Nikou, Nikolas ...
JCP
2006
111views more  JCP 2006»
14 years 9 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
ESWA
2007
127views more  ESWA 2007»
14 years 9 months ago
An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server...
Horng-Jinh Chang, Lun-Ping Hung, Chia-Ling Ho
GIS
2009
ACM
15 years 2 months ago
REG^2: a regional regression framework for geo-referenced datasets
Traditional regression analysis derives global relationships between variables and neglects spatial variations in variables. Hence they lack the ability to systematically discover...
Oner Ulvi Celepcikay, Christoph F. Eick