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SIGMOD
2011
ACM
234views Database» more  SIGMOD 2011»
13 years 1 months ago
Ranking with uncertain scoring functions: semantics and sensitivity measures
Ranking queries report the top-K results according to a user-defined scoring function. A widely used scoring function is the weighted summation of multiple scores. Often times, u...
Mohamed A. Soliman, Ihab F. Ilyas, Davide Martinen...
ICDE
2008
IEEE
140views Database» more  ICDE 2008»
14 years 11 months ago
Top-k Spatial Joins of Probabilistic Objects
Probabilistic data have recently become popular in applications such as scientific and geospatial databases. For images and other spatial datasets, probabilistic values can capture...
Vebjorn Ljosa, Ambuj K. Singh
VLDB
2001
ACM
190views Database» more  VLDB 2001»
14 years 2 months ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...
MTA
2007
141views more  MTA 2007»
13 years 9 months ago
Flexible integration of multimedia sub-queries with qualitative preferences
Complex multimedia queries, aiming to retrieve from large databases those objects that best match the query specification, are usually processed by splitting them into a set of m ...
Ilaria Bartolini, Paolo Ciaccia, Vincent Oria, M. ...
ADBIS
2008
Springer
219views Database» more  ADBIS 2008»
14 years 4 months ago
Data Stream Analysis for Location-Aware Collaborative Information Retrieval
Abstract. We propose a new approach for enhancing collaborative information retrieval by means of incorporating positional data for a location-aware personalized retrieval process....
Andreas Behrend, Frank Reichartz, Christian Dorau,...