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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_68";var NextPage="Page_70";var CurPage="Page_69";var PageOrder="81";</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_68.html'>Previous</A></TD>  <TD ALIGN=RIGHT><A HREF='Page_70.html'>Next</A></TD>  </TR>  </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_69'/><A NAME='{276}'/><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 69</FONT></TD></TR></TABLE><A NAME='{277}'/><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='0069-01.GIF' BORDER=0 ALT='0069-01.gif' WIDTH=441 HEIGHT=307></FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{278}'/><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;2-12&nbsp;<BR>One&nbsp;common&nbsp;data&nbsp;mining&nbsp;solution&nbsp;is&nbsp;a&nbsp;decision&nbsp;tree,&nbsp;which&nbsp;segments&nbsp;a&nbsp;database.</FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{279}'/><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>strategic advantage. The format of a data mining analysis or data mining tools may vary. For example, it may be in the form of visualization, such the graphical decision tree shown in Figure 2-12.</FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{27A}'/><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>The results of data mining can also be in the form of IF-THEN rules, which are usually market segments extracted from your website data:</FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{27B}'/><TABLE CELLPADDING=0 CELLSPACING=0 BORDER=0 WIDTH='100%'><TR><TD HEIGHT=12></TD></TR><TR><TD><TABLE CELLSPACING=0 WIDTH=583 CELLPADDING=5><TR><TD WIDTH=145 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>IF</FONT></TD><TD WIDTH=438 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>website customer age is less than 47</FONT></TD></TR><TR><TD WIDTH=145 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>THEN</FONT></TD><TD WIDTH=438 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>response to offer is 46.1%</FONT></TD></TR><TR><TD WIDTH=145 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>IF</FONT></TD><TD WIDTH=438 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>website customer age is greater than or equal to 47</FONT></TD></TR><TR><TD WIDTH=145 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>THEN</FONT></TD><TD WIDTH=438 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>response to offer is 54%</FONT></TD></TR><TR><TD WIDTH=145 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>IF</FONT></TD><TD WIDTH=438 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>website customer age is less than 39</FONT></TD></TR><TR><TD WIDTH=145 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>THEN</FONT></TD><TD WIDTH=438 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>response to offer is 51.3%</FONT></TD></TR><TR><TD WIDTH=145 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>IF</FONT></TD><TD WIDTH=438 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>website customer age is greater than or equal to 39</FONT></TD></TR><TR><TD WIDTH=145 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>THEN</FONT></TD><TD WIDTH=438 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>response to offer is 67%</FONT></TD></TR></TABLE></TD></TR></TABLE><BR><A NAME='{27C}'/><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>Still another possible solution available from the data mining process is C code, which usually is representative of a set of weights, or formulas. These weights are usually extracted from a data mining tool incorporating a neural or polynomial network as its core technology:</FONT><FONT FACE='Times New Roman, Times, Serif' SIZE=3 COLOR=#FFFF00><!-- break --></FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{27D}'/></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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