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PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
15 years 1 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...
PAKDD
2009
ACM
149views Data Mining» more  PAKDD 2009»
15 years 1 months ago
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
Ke Zhang, Marcus Hutter, Huidong Jin
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
PAKDD
2009
ACM
112views Data Mining» more  PAKDD 2009»
15 years 4 months ago
Romanization of Thai Proper Names Based on Popularity of Usages
The lack of standards for Romanization of Thai proper names makes searching activity a challenging task. This is particularly important when searching for people-related documents ...
Akegapon Tangverapong, Atiwong Suchato, Proadpran ...
PAKDD
2009
ACM
72views Data Mining» more  PAKDD 2009»
15 years 4 months ago
A Multi-resolution Approach for Atypical Behaviour Mining
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
Alice Marascu, Florent Masseglia