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» Dynamic Cluster Formation Using Level Set Methods
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CN
2006
163views more  CN 2006»
13 years 8 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
ICPR
2008
IEEE
14 years 9 months ago
A covariance-based method for dynamic background subtraction
Background subtraction in dynamic scenes is an important and challenging task. In this paper, we present a novel and effective method for dynamic background subtraction based on c...
Hongxun Yao, Shaohui Liu, Shengping Zhang, Wen Gao...
AAAI
2000
13 years 10 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
SIGKDD
2008
132views more  SIGKDD 2008»
13 years 8 months ago
Retail sales prediction and item recommendations using customer demographics at store level
This paper outlines a retail sales prediction and product recommendation system that was implemented for a chain of retail stores. The relative importance of consumer demographic ...
Michael Giering
MLDM
2005
Springer
14 years 2 months ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu