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» Improvements to the scalability of multiobjective clustering
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HIS
2007
13 years 10 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
VLDB
2004
ACM
73views Database» more  VLDB 2004»
14 years 1 months ago
Multi-objective Query Processing for Database Systems
Query processing in database systems has developed beyond mere exact matching of attribute values. Scoring database objects and retrieving only the top k matches or Pareto-optimal...
Wolf-Tilo Balke, Ulrich Güntzer
IJBRA
2007
116views more  IJBRA 2007»
13 years 8 months ago
Biomedical ontology improves biomedical literature clustering performance: a comparison study
: Document clustering has been used for better document retrieval and text mining. In this paper, we investigate if a biomedical ontology improves biomedical literature clustering ...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song
CBMS
2006
IEEE
14 years 2 months ago
Biomedical Ontology MeSH Improves Document Clustering Qualify on MEDLINE Articles: A Comparison Study
Document clustering has been used for better document retrieval, document browsing, and text mining. In this paper, we investigate if biomedical ontology MeSH improves the cluster...
Illhoi Yoo, Xiaohua Hu
EDBT
2004
ACM
192views Database» more  EDBT 2004»
14 years 8 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...