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Methods for Extracting Knowledge [PDF]
Knowledge Horizons - Economics, 2013 The paper describes some methods of extracting knowledge from large amounts of data, and also the concepts of classification, regression and clustering. In terms of classification, it describes some of the techniques and methods, namely the decision trees, the Bayesian method, k-NN, etc.
Ana-Maria Ramona Stancu +2 more
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Interest Propagation for Knowledge Extraction and Representation
2013Due to the increasing number of available biomedical data repositories, providing a comprehensive and intuitive access to information is still a demanding task for Information Retrieval systems. In this work we present an interactive data exploration system that retrieves relevant information by propagating the user's interest within a network.
Francesca Mulas +3 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
Extractive Knowledge Distillation
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022openaire +1 more source
Knowledge Extraction from Reinforcement Learning
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2002This paper deals with knowledge extraction from reinforcement learners. It addresses two approaches towards knowledge extraction: the extraction of explicit, symbolic rules front neural reinforcement learners; and the extraction of complete plans from such learners.
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Biological Knowledge Extraction
2009Text Mining is the process of extracting [novel] interesting and non-trivial information and knowledge from unstructured text (Google™ search result for “define: text mining”). Information retrieval, natural language processing, information extraction, and text mining provide methodologies to shift the burden of tracing and relating data contained in ...
Florian Leitner +2 more
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Joint models for information and knowledge extraction
2017Informations- und Wissensextraktion aus natürlichsprachlichen Texten sind Schlüsselthemen vieler wissensbassierter Anwendungen. Darunter fallen zum Beispiel Frage-Antwort-Systeme, semantische Suchmaschinen, oder Applikationen zur automatischen Zusammenfassung und zum maschinellem Lesen von Texten. Zur Lösung dieser Aufgaben müssen u.a.
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User-centric knowledge extraction and maintenance
2014Eine Ontologie ist eine Wissenssammlung in maschinenlesbarer Form. Da eine große Bandbreite an Informationen nur in natürlichsprachlicher Form verfügbar ist, werden maschinenlesbare Ontologien häufig durch imperfekte automatische Verfahren erzeugt, die eine Übersetzung in eine maschinenlesbare Darstellung vornehmen.
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Knowledge-enhanced event relation extraction via event ontology prompt
Information Fusion, 2023Ling Zhuang, Hao Fei, Po Hu
exaly
Extracting a medicine or extracting knowledge
Journal of Ethnopharmacology, 2014openaire +2 more sources