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ICDM
2009
IEEE
147views Data Mining» more  ICDM 2009»
13 years 7 months ago
Greedy Optimization for Contiguity-Constrained Hierarchical Clustering
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...
Diansheng Guo
GLOBECOM
2006
IEEE
14 years 4 months ago
Sensor Localization from WLS Optimization with Closed-form Gradient and Hessian
— A non-parametric, low-complexity algorithm for accurate and simultaneous localization of multiple sensors from scarce and imperfect ranging information is proposed. The techniq...
Giuseppe Destino, Giuseppe Thadeu Freitas de Abreu
GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
14 years 4 months ago
Multiobjective clustering with automatic k-determination for large-scale data
Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...
ICDE
2002
IEEE
106views Database» more  ICDE 2002»
14 years 11 months ago
OSSM: A Segmentation Approach to Optimize Frequency Counting
Computing the frequency of a pattern is one of the key operations in data mining algorithms. We describe a simple yet powerful way of speeding up any form of frequency counting sa...
Carson Kai-Sang Leung, Raymond T. Ng, Heikki Manni...
PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
14 years 4 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario