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SIGMOD
1996
ACM
110views Database» more  SIGMOD 1996»
15 years 10 months ago
Mining Quantitative Association Rules in Large Relational Tables
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...
Ramakrishnan Srikant, Rakesh Agrawal
EVOW
2008
Springer
15 years 8 months ago
DEEPER: A Full Parsing Based Approach to Protein Relation Extraction
Abstract. Lexical variance in biomedical texts poses a challenge to automatic protein relation mining. We therefore propose a new approach that relies only on more general language...
Timur Fayruzov, Martine De Cock, Chris Cornelis, V...
KRDB
1994
81views Database» more  KRDB 1994»
15 years 8 months ago
Frames, Objects and Relations: Three Semantic Levels for Knowledge Base Systems
We propose an architecture for large-scale knowledge base systems based on database technologies and the three levels of semantic construct - frames, objects and relations. The in...
Moira C. Norrie, Ulrich Reimer, Peter Lippuner, Mi...
ICML
2010
IEEE
15 years 7 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
PKDD
2010
Springer
154views Data Mining» more  PKDD 2010»
15 years 5 months ago
Topic Models Conditioned on Relations
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting