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<HTML>  <HEAD>    <!--SCRIPT LANGUAGE="JavaScript" SRC="http://a1835.g.akamai.net/f/1835/276/3h/www.netlibrary.com/include/js/dictionary_library.js"></SCRIPT>    <SCRIPT LANGUAGE="JavaScript">      if (!opener){document.onkeyup=parent.turnBookPage;}    </SCRIPT!-->    <META HTTP-EQUIV="Cache-Control" CONTENT="no-cache">    <META HTTP-EQUIV="Pragma" CONTENT="no-cache">    <META HTTP-EQUIV="Expires" CONTENT="-1"><META http-equiv="Content-Type" content="text/html; charset=windows-1252"><SCRIPT>var PrevPage="Page_31";var NextPage="Page_33";var CurPage="Page_32";var PageOrder="44";</SCRIPT>  <TITLE>Document</TITLE>  </HEAD>  <BODY BGCOLOR="#FFFFFF"><CENTER><TABLE BORDER=0 WIDTH=100% CELLPADDING=0><TR><TD ALIGN=CENTER>  <TABLE BORDER=0 CELLPADDING=2 CELLSPACING=0 WIDTH=100%>  <TR>  <TD ALIGN=LEFT><A HREF='Page_31.html'>Previous</A></TD>  <TD ALIGN=RIGHT><A HREF='Page_33.html'>Next</A></TD>  </TR>  </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_32'/><A NAME='{147}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0 WIDTH='100%'><TR><TD ALIGN=RIGHT><FONT FACE='Times New Roman, Times, Serif' SIZE=2 COLOR=#FF0000>Page 32</FONT></TD></TR></TABLE><A NAME='{148}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0 WIDTH='100%'><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD ALIGN=CENTER><FONT FACE='Times New Roman, Times, Serif' SIZE=3><IMG SRC='0032-01.JPG' BORDER=0 ALT='0032-01.jpg' WIDTH=262 HEIGHT=271></FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{149}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0 WIDTH='100%'><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD ALIGN=CENTER><FONT FACE='Times New Roman, Times, Serif' SIZE=2>Figure&nbsp;1-24&nbsp;<BR>A&nbsp;sensitivity&nbsp;analysis&nbsp;report&nbsp;from&nbsp;a&nbsp;neural&nbsp;network.</FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{14A}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>bookseller can increase the efficiency of its marketing efforts. An additional value is that through this profiling effort it can now target potential new visitors armed with the knowledge of who its existing customers are. It can now furnish an image, lifestyle, and attitude to these potential new visitors who match the composite of its existing clients.</FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{14B}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>A <I>sensitivity report</I> from a neural network can tell the bookseller what factors are impacting his online sales, which in this analysis is the visitors' home state, book category, age, and so forth. In Figure 1-24, the sensitivity report coincides with the findings of the visual, association, and segmentation analyses, which found that customers who purchase fiction and Internet books (Books Category), live in Rhode Island, New Hampshire, and Vermont (State), and are between 40 and 44 (Age), to be the most profitable and possess the greatest loyalty. The visitor's gender was excluded as an input from the neural network model, since we already knew that males are a dominant characteristic.</FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{14C}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3><B><I>Integrate the Solution</I></B></FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{14D}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>Data mining should not be considered as an isolated independent, one-time process. It should instead be an integrated process of analysis impacting every aspect of a retailing site. On the basis of data mining analyses, a retailer can project and anticipate the allo-</FONT><FONT FACE='Times New Roman, Times, Serif' SIZE=3 COLOR=#FFFF00><!-- soft --></FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{14E}'/></FORM></P></TD></TR></TABLE><P><FONT SIZE=0 COLOR=WHITE></CENTER><A NAME="bottom">&nbsp;</A><!-- netLibrary.com Copyright Notice -->  </BODY></HTML>

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