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AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
16 years 1 months ago
Determining Termhood for Learning Domain Ontologies in a Probabilistic Framework
Many existing techniques for term extraction are heuristically-motivated and criticised as ad-hoc. The definitions and assumptions critical to set the boundary for the effective...
Wilson Wong, Wei Liu, Mohammed Bennamoun
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
16 years 16 days ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
16 years 16 days ago
A Graph-Ranking Algorithm for Geo-Referencing Documents
This paper presents an application of PageRank for assigning documents with a corresponding geographical scope. We describe the technique in detail, together with its theoretical ...
Bruno Martins, Mário J. Silva
ADMA
2005
Springer
189views Data Mining» more  ADMA 2005»
16 years 14 days ago
Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem
In this paper, we design genetic algorithm and simulated annealing algorithm and their parallel versions to solve the Closest String problem. Our implementation and experiments sho...
Xuan Liu, Hongmei He, Ondrej Sýkora
AI
2005
Springer
16 years 14 days ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton