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» A Weighted Utility Framework for Mining Association Rules
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ITCC
2000
IEEE
14 years 3 days ago
Towards Knowledge Discovery from WWW Log Data
As the result of interactions between visitors and a web site, an http log file contains very rich knowledge about users on-site behaviors, which, if fully exploited, can better c...
Feng Tao, Fionn Murtagh
ICIP
2009
IEEE
14 years 8 months ago
M2sir: A Multi Modal Sequential Importance Resampling Algorithm For Particle Filters
We present a multi modal sequential importance resampling particle filter algorithm for object tracking. We consider a hidden state sequence linked to several observation sequence...
LREC
2008
125views Education» more  LREC 2008»
13 years 9 months ago
Similar Term Discovery using Web Search
We present an approach to the discovery of semantically similar terms that utilizes a web search engine as both a source for generating related terms and a tool for estimating the...
Peter G. Anick, Vijay Murthi, Shaji Sebastian
FIMI
2004
175views Data Mining» more  FIMI 2004»
13 years 9 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
ADAPTIVE
2007
Springer
14 years 1 months ago
Data Mining for Web Personalization
Abstract. In this chapter we present an overview of Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data minin...
Bamshad Mobasher