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» Using Rough Sets as Tools for Knowledge Discovery
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94
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CICLING
2008
Springer
15 years 2 months ago
Unsupervised and Knowledge-Free Learning of Compound Splits and Periphrases
Abstract. We present an approach for knowledge-free and unsupervised recognition of compound nouns for languages that use one-wordcompounds such as Germanic and Scandinavian langua...
Florian Holz, Chris Biemann
SIGMOD
2005
ACM
123views Database» more  SIGMOD 2005»
15 years 6 months ago
To Do or Not To Do: The Dilemma of Disclosing Anonymized Data
Decision makers of companies often face the dilemma of whether to release data for knowledge discovery, vis a vis the risk of disclosing proprietary or sensitive information. Whil...
Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Rames...
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
14 years 10 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
107
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BMCBI
2007
171views more  BMCBI 2007»
15 years 20 days ago
An open source infrastructure for managing knowledge and finding potential collaborators in a domain-specific subset of PubMed,
Background: Identifying relevant research in an ever-growing body of published literature is becoming increasingly difficult. Establishing domain-specific knowledge bases may be a...
Wei Yu, Ajay Yesupriya, Anja Wulf, Junfeng Qu, Mui...
92
Voted
ATAL
2003
Springer
15 years 5 months ago
A protocol for multi-agent diagnosis with spatially distributed knowledge
In a large distributed system it is often infeasible or even impossible to perform diagnosis using a single model of the whole system. Instead, several spatially distributed local...
Nico Roos, Annette ten Teije, Cees Witteveen