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» Link Prediction in Relational Data
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ARTMED
2006
85views more  ARTMED 2006»
13 years 8 months ago
Using ontologies linked with geometric models to reason about penetrating injuries
Medical assessment of penetrating injuries is a difficult and knowledge-intensive task. Physical examination and computed tomographic (CT) imaging data must be combined with detai...
Daniel L. Rubin, Olivier Dameron, Yasser Bashir, D...
KDD
2004
ACM
162views Data Mining» more  KDD 2004»
14 years 8 months ago
Discovering Links Between Lexical and Surface Features in Questions and Answers
Information retrieval systems, based on keyword match, are evolving to question answering systems that return short passages or direct answers to questions, rather than URLs point...
Soumen Chakrabarti
AMAI
2007
Springer
13 years 8 months ago
Relational concept discovery in structured datasets
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as d...
Marianne Huchard, Mohamed Rouane Hacene, Cyril Rou...
KDD
2007
ACM
121views Data Mining» more  KDD 2007»
14 years 8 months ago
Preserving the Privacy of Sensitive Relationships in Graph Data
Abstract. In this paper, we focus on the problem of preserving the privacy of sensitive relationships in graph data. We refer to the problem of inferring sensitive relationships fr...
Elena Zheleva, Lise Getoor
ACL
1994
13 years 9 months ago
Relating Complexity to Practical Performance in Parsing with Wide-Coverage Unification Grammars
The paper demonstrates that exponential complexities with respect to grammar size and input length have little impact on the performance of three unification-based parsing algorit...
John Carroll