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IJCNN
2008
IEEE
15 years 11 months ago
Ranking and selecting clustering algorithms using a meta-learning approach
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
Marcílio Carlos Pereira de Souto, Ricardo B...
ADC
2004
Springer
147views Database» more  ADC 2004»
15 years 10 months ago
Clustering Moving Objects for Spatio-temporal Selectivity Estimation
Many spatio-temporal applications involve managing and querying moving objects. In such an environment, predictive spatio-temporal queries become an important query class to be pr...
Qing Zhang, Xuemin Lin
CORR
2008
Springer
132views Education» more  CORR 2008»
15 years 5 months ago
Materialized View Selection by Query Clustering in XML Data Warehouses
XML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native XML database management systems currently bear limited p...
Hadj Mahboubi, Kamel Aouiche, Jérôme ...
139
Voted
SSD
2005
Springer
122views Database» more  SSD 2005»
15 years 10 months ago
Selectivity Estimation of High Dimensional Window Queries via Clustering
Abstract. Query optimization is an important functionality of modern database systems and often based on estimating the selectivity of queries before actually executing them. Well-...
Christian Böhm, Hans-Peter Kriegel, Peer Kr&o...