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mhahsler committed Oct 18, 2023
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2 changes: 1 addition & 1 deletion docs/README_bib
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bibtex2html -d association_rules.bib
bibtex2html -d -header "<H1>Annodated Bibliography: Association Rule Mining<H1>" association_rules.bib
4 changes: 3 additions & 1 deletion docs/association_rules.bib
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Expand Up @@ -1847,7 +1847,9 @@ @Manual{arules:Hahsler:2023
author = {Michael Hahsler and Christian Buchta and Bettina Gruen and Kurt Hornik},
note = {R package version 1.7-7},
url = {https://github.com/mhahsler/arules},
year = {2023}
year = {2023},
abstract = {R infrastructure for association rule mining. Implements several algorithms and generalizations of measures.},
keywords = {measure, algorithm}
}

@Comment{jabref-meta: databaseType:bibtex;}
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10 changes: 8 additions & 2 deletions docs/association_rules.html
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<!-- This document was automatically generated with bibtex2html 1.99
(see http://www.lri.fr/~filliatr/bibtex2html/),
with the following command:
bibtex2html -d association_rules.bib -->
bibtex2html -d -header "<H1>Association Rule Mining - Annodated Bibliography by Michael Hahsler</H1>" association_rules.bib -->


<table>
<H1>Association Rule Mining - Annodated Bibliography by Michael Hahsler</H1><table>

<tr valign="top">
<td align="right" class="bibtexnumber">
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R package version 1.7-7.
[&nbsp;<a href="association_rules_bib.html#arules:Hahsler:2023">bib</a>&nbsp;|
<a href="https://github.com/mhahsler/arules">http</a>&nbsp;]
<blockquote><font size="-1">
R infrastructure for association rule mining. Implements several algorithms and generalizations of measures.
</font></blockquote>
<blockquote><font size="-1">
Keywords: measure, algorithm
</font></blockquote>

</td>
</tr>
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4 changes: 3 additions & 1 deletion docs/association_rules_bib.html
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Expand Up @@ -2089,7 +2089,9 @@ <h1>association_rules.bib</h1><pre>
author = {Michael Hahsler and Christian Buchta and Bettina Gruen and Kurt Hornik},
note = {R package version 1.7-7},
url = {https://github.com/mhahsler/arules},
year = {2023}
year = {2023},
abstract = {R infrastructure for association rule mining. Implements several algorithms and generalizations of measures.},
keywords = {measure, algorithm}
}
</pre>

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