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» Sequence Mining in Categorical Domains: Algorithms and Appli...
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SAC
2006
ACM
14 years 1 months ago
Discretization from data streams: applications to histograms and data mining
Abstract. In this paper we propose a new method to perform incremental discretization. The basic idea is to perform the task in two layers. The first layer receives the sequence o...
João Gama, Carlos Pinto
APWEB
2006
Springer
13 years 11 months ago
Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
Kuo-Yu Huang, Chia-Hui Chang
ICASSP
2007
IEEE
14 years 2 months ago
Rate Allocation Algorithm for Pixel-Domain Distributed Video Coding Without Feedback Channel
In some video coding applications, it is desirable to reduce the complexity of the video encoder at the expense of a more complex decoder. Distributed Video (DV) Coding is a new p...
Marleen Morbée, Josep Prades-Nebot, Aleksan...
KDD
2002
ACM
293views Data Mining» more  KDD 2002»
14 years 8 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes
SAC
2004
ACM
14 years 1 months ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo