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ICDT
2001
ACM
124views Database» more  ICDT 2001»
15 years 8 months ago
Why and Where: A Characterization of Data Provenance
Withthe proliferation of database views and curated databases, the issue of data provenance where a piece of data came from and the process by which it arrived in the database is b...
Peter Buneman, Sanjeev Khanna, Wang Chiew Tan
116
Voted
ILP
2005
Springer
15 years 9 months ago
Classifying Relational Data with Neural Networks
We introduce a novel method for relational learning with neural networks. The contributions of this paper are threefold. First, we introduce the concept of relational neural networ...
Werner Uwents, Hendrik Blockeel
ICDM
2007
IEEE
139views Data Mining» more  ICDM 2007»
15 years 10 months ago
Data Clustering with a Relational Push-Pull Model
We present a new generative model for relational data in which relations between objects can have either a binding or a separating effect. For example, in a group of students sep...
Adam Anthony, Marie desJardins
113
Voted
APAL
2008
87views more  APAL 2008»
15 years 3 months ago
Characterising nested database dependencies by fragments of propositional logic
We extend the earlier results on the equivalence between the Boolean and the multivalued dependencies in relational databases and fragments of the Boolean propositional logic. It ...
Sven Hartmann, Sebastian Link
153
Voted
ESWS
2008
Springer
15 years 5 months ago
Wikipedia Link Structure and Text Mining for Semantic Relation Extraction
Abstract. Wikipedia, a collaborative Wiki-based encyclopedia, has become a huge phenomenon among Internet users. It covers huge number of concepts of various fields such as Arts, G...
Kotaro Nakayama, Takahiro Hara, Shojiro Nishio