PUMA publications for /user/iteg/condensed%20concept%20analysishttps://puma.uni-kassel.de/user/iteg/condensed%20concept%20analysisPUMA RSS feed for /user/iteg/condensed%20concept%20analysis2024-03-29T08:22:55+01:00Generating a Condensed Representation for Association Ruleshttps://puma.uni-kassel.de/bibtex/240f59a7fa7ce5015f9ee81709db89de0/itegiteg2011-11-22T10:26:32+01:002005 OntologyHandbook analysis association closed concept condensed data discovery fca formal itegpub itemset kdd knowledge l3s mining myown representations rule rules sets <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nicolas Pasquier" itemprop="url" href="/author/Nicolas%20Pasquier"><span itemprop="name">N. Pasquier</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rafik Taouil" itemprop="url" href="/author/Rafik%20Taouil"><span itemprop="name">R. Taouil</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yves Bastide" itemprop="url" href="/author/Yves%20Bastide"><span itemprop="name">Y. Bastide</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lotfi Lakhal" itemprop="url" href="/author/Lotfi%20Lakhal"><span itemprop="name">L. Lakhal</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Journal Intelligent Information Systems (JIIS)</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">24 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">29-60</span></em> </span>(<em><span>2005<meta content="2005" itemprop="datePublished"/></span></em>)Tue Nov 22 10:26:32 CET 2011Journal Intelligent Information Systems (JIIS)129-60Generating a Condensed Representation for Association Rules2420052005 OntologyHandbook analysis association closed concept condensed data discovery fca formal itegpub itemset kdd knowledge l3s mining myown representations rule rules sets Efficient Mining of Association Rules Based on Formal Concept Analysishttps://puma.uni-kassel.de/bibtex/22b350f817428e4c6c7259cd279815091/itegiteg2011-11-22T10:26:32+01:002005 analysis association book closed concept condensed data discovery fca formal itegpub itemsets kdd knowledge l3s mining myown representations rules <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lotfi Lakhal" itemprop="url" href="/author/Lotfi%20Lakhal"><span itemprop="name">L. Lakhal</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><em>Volume 3626 von LNAI, </em><em>Seite <span itemprop="pagination">180-195</span>. </em><em><span itemprop="publisher">Springer</span>, </em><em>Heidelberg, </em><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"></span>(<em><span>2005<meta content="2005" itemprop="datePublished"/></span></em>)Tue Nov 22 10:26:32 CET 2011HeidelbergFormal Concept Analysis: Foundations and Applications180-195LNAIEfficient Mining of Association Rules Based on Formal Concept Analysis362620052005 analysis association book closed concept condensed data discovery fca formal itegpub itemsets kdd knowledge l3s mining myown representations rules Association rules are a popular knowledge discovery technique for
warehouse basket analysis. They indicate which items of the
warehouse are frequently bought together. The problem of association
rule mining has first been stated in 1993. Five years later, several
research groups discovered that this problem has a strong connection
to Formal Concept Analysis (FCA). In this survey, we will first
introduce some basic ideas of this connection along a specific
algorithm, \titanic, and show how FCA helps in reducing the number
of resulting rules without loss of information, before giving a
general overview over the history and state of the art of applying
FCA for association rule mining.