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KDD
2005
ACM
127views Data Mining» more  KDD 2005»
16 years 1 days 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
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 11 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...
ESWS
2008
Springer
15 years 8 months ago
Integrating Open Sources and Relational Data with SPARQL
We believe that the possibility to use SPARQL as a front end to heterogeneous data without significant cost in performance or expressive power is key to RDF taking its rightful pla...
Orri Erling, Ivan Mikhailov
DASFAA
2010
IEEE
166views Database» more  DASFAA 2010»
16 years 1 months ago
The Objects Interaction Matrix for Modeling Cardinal Directions in Spatial Databases
Abstract. Besides topological relations and approximate relations, cardinal directions have turned out to be an important class of qualitative spatial relations. In spatial databas...
Tao Chen, Markus Schneider, Ganesh Viswanathan, We...
EDBT
2009
ACM
136views Database» more  EDBT 2009»
16 years 1 months ago
Finding frequent co-occurring terms in relational keyword search
Given a set Q of keywords, conventional keyword search (KS) returns a set of tuples, each of which (i) is obtained from a single relation, or by joining multiple relations, and (i...
Yufei Tao, Jeffrey Xu Yu