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DMIN
2006
152views Data Mining» more  DMIN 2006»
11 years 1 months ago
Anomaly Detection Using the Dempster-Shafer Method
In this paper, we implement an anomaly detection system using the Dempster-Shafer method. Using two standard benchmark problems we show that by combining multiple signals it is pos...
Qi Chen, Uwe Aickelin
DMIN
2006
126views Data Mining» more  DMIN 2006»
11 years 1 months ago
An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules
Association rule mining techniques are used to search attribute-value pairs that occur frequently together in a data set. Ordinal association rules are a particular type of associa...
Alina Campan, Gabriela Serban, Traian Marius Truta...
DMIN
2006
115views Data Mining» more  DMIN 2006»
11 years 1 months ago
Development of a Multi-Classifier Approach for Multilingual Text Categorization
- Research work related to applying text categorization methods to a monolingual corpus such as English text collections has been well established by several research teams in rece...
Chung-Hong Lee, Hsin-Chang Yang, Ting-Chung Chen, ...
DMIN
2006
115views Data Mining» more  DMIN 2006»
11 years 1 months ago
Indexing Spatio-Temporal Trajectories with Orthogonal Polynomials
Abstract-- In this paper we consider d-dimensional spatiotemporal data (d 1) and ways to approximate and index it. We focus on indexing such data for similarity matching using orth...
Elena Braynova
DMIN
2006
113views Data Mining» more  DMIN 2006»
11 years 1 months ago
Performance Evaluation of Two Data Mining Techniques of Network Alarms Analysis
In large telecommunication networks, alarms are usually useful for identifying faults and, therefore solving them. However, for large systems the number of alarms produced is so la...
Jacques-H. Bellec, M. Tahar Kechadi, Joe Carthy
DMIN
2006
143views Data Mining» more  DMIN 2006»
11 years 1 months ago
Reverse Tree Clustering
Common document clustering algorithms utilize models that either divide a corpus into smaller clusters or gather individual documents into clusters. Hierarchical Agglomerative Clus...
Casey Bartman, Jamal R. Alsabbagh
DMIN
2006
124views Data Mining» more  DMIN 2006»
11 years 1 months ago
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Mouloud Amazouz, Radu Pantea
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