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PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
15 years 6 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 6 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 11 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 8 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 8 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