Unsupervised exploration of scientific articles

Unsupervised exploration of scientific articles

Unsupervised data exploration techniques are used for extracting relational and structural information from massifs of data. In this paper we explore a collection of ACM transactions and IEEE conferences related by the subject of high performance distributed computing - with a scientific computing f...

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Bibliographische Detailangaben
Hauptverfasser: Alin-Adrian, Anton, Vladimir-Ioan, Cretu
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Automation
Bioinformatics
Biology computing
Computational intelligence
Data mining
Distributed computing
Evolution (biology)
Informatics
Matrix converters
Scientific computing
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Beschreibung
Zusammenfassung:Unsupervised data exploration techniques are used for extracting relational and structural information from massifs of data. In this paper we explore a collection of ACM transactions and IEEE conferences related by the subject of high performance distributed computing - with a scientific computing flavor - in order to understand how they relate to each other. The interpreted result is proved reasonable and is defined by groups of conferences and transactions which can be scaled by their degree of abstractness and physical realization.
DOI:10.1109/SACI.2009.5136307