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» Inductive Databases as Ranking
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187
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SIGMOD
2007
ACM
229views Database» more  SIGMOD 2007»
16 years 25 days ago
Spark: top-k keyword query in relational databases
With the increasing amount of text data stored in relational databases, there is a demand for RDBMS to support keyword queries over text data. As a search result is often assemble...
Yi Luo, Xuemin Lin, Wei Wang 0011, Xiaofang Zhou
116
Voted
WWW
2009
ACM
16 years 1 months ago
Answering approximate queries over autonomous web databases
To deal with the problem of empty or too little answers returned from a Web database in response to a user query, this paper proposes a novel approach to provide relevant and rank...
Xiangfu Meng, Z. M. Ma, Li Yan
209
Voted
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
16 years 2 months ago
Mining Views: Database Views for Data Mining
We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining vi...
Élisa Fromont, Adriana Prado, Bart Goethals...
186
Voted
VLDB
2004
ACM
161views Database» more  VLDB 2004»
16 years 28 days ago
Supporting top-k join queries in relational databases
Ranking queries produce results that are ordered on some computed score. Typically, these queries involve joins, where users are usually interested only in the top-k join results....
Ihab F. Ilyas, Walid G. Aref, Ahmed K. Elmagarmid
88
Voted
ALMOB
2007
74views more  ALMOB 2007»
15 years 25 days ago
Evaluating deterministic motif significance measures in protein databases
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Pedro Gabriel Ferreira, Paulo J. Azevedo