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    <title>topic Re: propensity modeling,clustering in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/propensity-modeling-clustering/m-p/125349#M1053</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;BR /&gt;Propensity modeling is such a broad term. From your question it seems like what you really need is some clustering technique reference.&lt;/P&gt;&lt;P&gt;In general I really like Data Preparation for Data Mining using SAS by Mamdouh Refaat. Many topics discussed in this book apply across the board to all commonly used techniques, including Cluster Analysis.&lt;/P&gt;&lt;P&gt;My go-to book for clustering using SAS is actually SAS' training material from their&lt;A href="https://support.sas.com/edu/schedules.html?id=1446&amp;amp;ctry=US"&gt; Applied Clustering Techniques &lt;/A&gt;course. SAS has at least another couple of cluster related courses, which I have not attended and cannot really speak to. There is a Customer Segmentation using EM, and a Propensity Score Matching one.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;G&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 04 Mar 2013 19:04:29 GMT</pubDate>
    <dc:creator>adjgiulio</dc:creator>
    <dc:date>2013-03-04T19:04:29Z</dc:date>
    <item>
      <title>propensity modeling,clustering</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/propensity-modeling-clustering/m-p/125348#M1052</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #f8f8f8;"&gt;Hi all,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #f8f8f8;"&gt;Does anyone have some good book to recommend concering propensity modeling using SAS Base? That would describe the data mining view as well as the scoring view?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #f8f8f8;"&gt;In addition any book that is entirely focused in clustering using SAS Base?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #f8f8f8;"&gt;Kind regards and thnx in advance&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 01 Mar 2013 21:13:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/propensity-modeling-clustering/m-p/125348#M1052</guid>
      <dc:creator>chemicalab</dc:creator>
      <dc:date>2013-03-01T21:13:20Z</dc:date>
    </item>
    <item>
      <title>Re: propensity modeling,clustering</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/propensity-modeling-clustering/m-p/125349#M1053</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;BR /&gt;Propensity modeling is such a broad term. From your question it seems like what you really need is some clustering technique reference.&lt;/P&gt;&lt;P&gt;In general I really like Data Preparation for Data Mining using SAS by Mamdouh Refaat. Many topics discussed in this book apply across the board to all commonly used techniques, including Cluster Analysis.&lt;/P&gt;&lt;P&gt;My go-to book for clustering using SAS is actually SAS' training material from their&lt;A href="https://support.sas.com/edu/schedules.html?id=1446&amp;amp;ctry=US"&gt; Applied Clustering Techniques &lt;/A&gt;course. SAS has at least another couple of cluster related courses, which I have not attended and cannot really speak to. There is a Customer Segmentation using EM, and a Propensity Score Matching one.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;G&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 04 Mar 2013 19:04:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/propensity-modeling-clustering/m-p/125349#M1053</guid>
      <dc:creator>adjgiulio</dc:creator>
      <dc:date>2013-03-04T19:04:29Z</dc:date>
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