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ECML
2007
Springer
14 years 1 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
CIKM
2009
Springer
13 years 10 months ago
A framework for semantic link discovery over relational data
Discovering links between different data items in a single data source or across different data sources is a challenging problem faced by many information systems today. In partic...
Oktie Hassanzadeh, Anastasios Kementsietsidis, Lip...
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
14 years 7 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
14 years 8 months ago
Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data
on Uncertain Data (Extended Abstract) Ming Hua Jian Pei Wenjie Zhang Xuemin Lin Simon Fraser University, Canada The University of New South Wales & NICTA {mhua, jpei}@cs.sfu.c...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin
SIGMOD
2012
ACM
212views Database» more  SIGMOD 2012»
11 years 10 months ago
Local structure and determinism in probabilistic databases
While extensive work has been done on evaluating queries over tuple-independent probabilistic databases, query evaluation over correlated data has received much less attention eve...
Theodoros Rekatsinas, Amol Deshpande, Lise Getoor