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FUIN
2008
136views more  FUIN 2008»
13 years 7 months ago
Multi-Dimensional Relational Sequence Mining
The issue addressed in this paper concerns the discovery of frequent multi-dimensional patterns from relational sequences. The great variety of applications of sequential pattern m...
Floriana Esposito, Nicola Di Mauro, Teresa Maria A...
CORR
2006
Springer
125views Education» more  CORR 2006»
13 years 7 months ago
10^(10^6) Worlds and Beyond: Efficient Representation and Processing of Incomplete Information
We present a decomposition-based approach to managing probabilistic information. We introduce world-set decompositions (WSDs), a space-efficient and complete representation system ...
Lyublena Antova, Christoph Koch, Dan Olteanu
RIAO
2007
13 years 9 months ago
Using Markov Chains to Exploit Word Relationships in Information Retrieval
Document expansion and query expansion aim to add related terms into document and query representations in order to make them more complete. However, most previous studies are lim...
Guihong Cao, Jian-Yun Nie, Jing Bai
BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
ECML
2007
Springer
14 years 1 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou