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Automatic Extraction of Actionable Knowledge
2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 2016In this paper, we describe K-Extractor, a powerful NLP framework that provides integrated and seamless access to structured and unstructured information with minimal effort. The K-Extractor converts natural language documents into a rich set of semantic triples that, not only, can be stored within an RDF semantic index, but also, can be queried using ...
Mithun Balakrishna +4 more
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2016
This article presented an anomaly detection method based on techniques of knowledge extraction from data, which can be fully applied to detect anomalous working conditions and prevent unexpected faults and shut downs of subsystems of energy production and fluid process plants such as in the LNG transport and production industry.
Brighenti, Chiara +3 more
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This article presented an anomaly detection method based on techniques of knowledge extraction from data, which can be fully applied to detect anomalous working conditions and prevent unexpected faults and shut downs of subsystems of energy production and fluid process plants such as in the LNG transport and production industry.
Brighenti, Chiara +3 more
openaire +1 more source
Extraction of Knowledge from a Database
1988Statistical packages are generally employed to derive or infer facts about a Universe of Discourse stored in a database. These packages are rather powerful concerning their computational capabilities, but they often lack knowledge about the statistical aspect of a computation.
Shamsul Chowdhury, Ove Wigertz
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A Memetic Approach for the Knowledge Extraction
2012This paper provides a memetic approach in order to extract comprehensible and accurate classification rules. Indeed to construct a model of classification we need to extract not only accurate rules but comprehensible also, to help the human interpretation of the model and the decision make process.
Sadjia Benkhider +2 more
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Extracting Sequential Nuggets of Knowledge
2007We present the notion of sequential association rule and introduce Sequential Nuggets of Knowledge as sequential association rules with possible low support and good quality, which may be highly relevant to scientific knowledge discovery. Then we propose the algorithm SNK that mines some interesting subset of sequential nuggets of knowledge and apply ...
Christine Froidevaux +2 more
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Extracting a medicine or extracting knowledge
Journal of Ethnopharmacology, 2014openaire +3 more sources
Knowledge Needs and Information Extraction
2013Jean‐Charles Pomerol, Nicolas Turenne
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