for information about the Matplotlib Python plotting lib.

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Bibliographische Detailangaben
Titel: for information about the Matplotlib Python plotting lib.
Autoren: Peter Christen
Weitere Verfasser: The Pennsylvania State University CiteSeerX Archives
Quelle: http://cs.anu.edu.au/~Peter.Christen/Febrl/febrl-0.4.01/docu/manual.pdf.
Publikationsjahr: 2007
Bestand: CiteSeerX
Beschreibung: See Appendix F of this document for the license conditions under which this document and the computer programs described in it may be used. This manual describes prototype software called Febrl designed to undertake probabilistic data cleaning and standardisation, deduplication and record linkage. Written in the Python programming language, this software aims to allow health, biomedical and other researchers to clean (standardise) and deduplicate or link data sets of all sizes faster, with less effort and with improved quality. This fourth release Febrl Version 0.4 contains a graphical user interface (GUI) aimed to facilitate record linkage for users that have no experience in the Python programming language. All Febrl modules have been re-designed, improved, and updated to take advantage of new features made available in Python version 2.5. Febrl 0.4 contains many new field comparison functions, several new indexing (blocking) techniques and novel classification approaches. If you are using Febrl for experimental or practical record linkage projects, for scientific comparison studies, or any other record linkage related research that results in publications we ask you to include the following citation.
Publikationsart: text
Dateibeschreibung: application/pdf
Sprache: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.580
Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.580
http://cs.anu.edu.au/~Peter.Christen/Febrl/febrl-0.4.01/docu/manual.pdf
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Dokumentencode: edsbas.9F18A087
Datenbank: BASE
Beschreibung
Abstract:See Appendix F of this document for the license conditions under which this document and the computer programs described in it may be used. This manual describes prototype software called Febrl designed to undertake probabilistic data cleaning and standardisation, deduplication and record linkage. Written in the Python programming language, this software aims to allow health, biomedical and other researchers to clean (standardise) and deduplicate or link data sets of all sizes faster, with less effort and with improved quality. This fourth release Febrl Version 0.4 contains a graphical user interface (GUI) aimed to facilitate record linkage for users that have no experience in the Python programming language. All Febrl modules have been re-designed, improved, and updated to take advantage of new features made available in Python version 2.5. Febrl 0.4 contains many new field comparison functions, several new indexing (blocking) techniques and novel classification approaches. If you are using Febrl for experimental or practical record linkage projects, for scientific comparison studies, or any other record linkage related research that results in publications we ask you to include the following citation.