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CORR
2004
Springer
218views Education» more  CORR 2004»
13 years 8 months ago
A Dynamic Clustering-Based Markov Model for Web Usage Mining
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
José Borges, Mark Levene
ICDM
2010
IEEE
267views Data Mining» more  ICDM 2010»
13 years 6 months ago
Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
Web-page recommendation is to predict the next request of pages that Web users are potentially interested in when surfing the Web. This technique can guide Web users to find more u...
Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou
IJNSEC
2007
127views more  IJNSEC 2007»
13 years 8 months ago
Markov Chain Modelling of the Probabilistic Packet Marking Algorithm
In this work, we show that the current termination condition of the Probabilistic Packet Marking (PPM) algorithm is not correct for general networks, and this implies the estimati...
Tsz-Yeung Wong, John Chi-Shing Lui, Man Hon Wong
ICIP
2001
IEEE
14 years 10 months ago
Using hidden Markov model for Chinese business card recognition
Yuan-Kai Wang, Kuo-Chin Fan, Yau-Tarng Juang, Tai-...
ECML
2007
Springer
14 years 3 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani