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» Inductive Databases as Ranking
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SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
14 years 10 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang
SIGMOD
2007
ACM
172views Database» more  SIGMOD 2007»
14 years 10 months ago
Auditing disclosure by relevance ranking
Numerous widely publicized cases of theft and misuse of private information underscore the need for audit technology to identify the sources of unauthorized disclosure. We present...
Rakesh Agrawal, Alexandre V. Evfimievski, Jerry Ki...
SIGMOD
2011
ACM
234views Database» more  SIGMOD 2011»
13 years 23 days 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
2007
IEEE
92views Database» more  ICDE 2007»
14 years 11 months ago
STAR: A System for Tuple and Attribute Ranking of Query Answers
In recent years there has been a great deal of interest in developing effective techniques for ad-hoc search and retrieval in structured repositories such as relational databases ...
Nishant Kapoor, Gautam Das, Vagelis Hristidis, S. ...
SIGMOD
2009
ACM
111views Database» more  SIGMOD 2009»
14 years 10 months ago
Language-model-based ranking in entity-relation graphs
We propose a language-model-based ranking approach for SPARQLlike queries on entity-relationship graphs. Our ranking model supports exact matching, approximate structure matching,...
Shady Elbassuoni, Maya Ramanath, Gerhard Weikum