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» On Multiple Query Optimization in Data Mining
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SIGMOD
2002
ACM
172views Database» more  SIGMOD 2002»
14 years 7 months ago
Automating physical database design in a parallel database
Physical database design is important for query performance in a shared-nothing parallel database system, in which data is horizontally partitioned among multiple independent node...
Jun Rao, Chun Zhang, Nimrod Megiddo, Guy M. Lohman
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
ADBIS
2007
Springer
171views Database» more  ADBIS 2007»
14 years 1 months ago
Quete: Ontology-Based Query System for Distributed Sources
The exponential growth of the web and the extended use of database management systems in widely distributed information systems has brought to the fore the need for seamless interc...
Haridimos Kondylakis, Anastasia Analyti, Dimitris ...
DEXA
2004
Springer
79views Database» more  DEXA 2004»
14 years 28 days ago
Querying Distributed Data in a Super-Peer Based Architecture
Data integration is a significant challenge: relevant data objects are split across multiple information sources, and often owned by different organizations. The sources represent...
Zohra Bellahsene, Mark Roantree
EUROGP
2007
Springer
161views Optimization» more  EUROGP 2007»
14 years 1 months ago
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...