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EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 11 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
EDBT
2008
ACM
169views Database» more  EDBT 2008»
14 years 11 months ago
Efficient online top-K retrieval with arbitrary similarity measures
The top-k retrieval problem requires finding k objects most similar to a given query object. Similarities between objects are most often computed as aggregated similarities of the...
Prasad M. Deshpande, Deepak P, Krishna Kummamuru
EDBT
2008
ACM
118views Database» more  EDBT 2008»
14 years 11 months ago
Robustness in automatic physical database design
Automatic physical database design tools rely on "what-if" interfaces to the query optimizer to estimate the execution time of the training query workload under differen...
Kareem El Gebaly, Ashraf Aboulnaga
EDBT
2008
ACM
156views Database» more  EDBT 2008»
14 years 11 months ago
Online recovery in cluster databases
Cluster based replication solutions are an attractive mechanism to provide both high-availability and scalability for the database backend within the multi-tier information system...
WeiBin Liang, Bettina Kemme
EDBT
2008
ACM
122views Database» more  EDBT 2008»
14 years 11 months ago
Semantic peer, here are the neighbors you want!
Peer Data Management Systems (PDMSs) have been introduced as a solution to the problem of large-scale sharing of semantically rich data. A PDMS consists of semantic peers connecte...
Wilma Penzo, Stefano Lodi, Federica Mandreoli, Ric...