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126
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ER
2003
Springer
98views Database» more  ER 2003»
15 years 8 months ago
Extracting Relations from XML Documents
XML is becoming a prevalent format for data exchange. Many XML documents have complex schemas that are not always known, and can vary widely between information sources and applica...
Eugene Agichtein, C. T. Howard Ho, Vanja Josifovsk...
ICDE
2009
IEEE
144views Database» more  ICDE 2009»
16 years 5 months ago
Reachability Indexes for Relational Keyword Search
Due to its considerable ease of use, relational keyword search (R-KWS) has become increasingly popular. Its simplicity, however, comes at the cost of intensive query processing. Sp...
Alexander Markowetz, Yin Yang, Dimitris Papadias
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
16 years 4 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
136
Voted
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 9 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
137
Voted
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 9 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...