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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_4";var NextPage="Page_6";var CurPage="Page_5";var PageOrder="17";</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_4.html'>Previous</A></TD> <TD ALIGN=RIGHT><A HREF='Page_6.html'>Next</A></TD> </TR> </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_5'/><A NAME='{4F}'/><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 5</FONT></TD></TR></TABLE><A NAME='{50}'/><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=265 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2><B>Value to Predict</B></FONT></TD><TD WIDTH=318 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2><B>Values or Conditions to Consider</B></FONT></TD></TR><TR><TD WIDTH=265 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2><B><I>Total Purchases (Output)</I></B></FONT></TD><TD WIDTH=318 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2><B><I>Age, Gender, Engine, Keywords</I></B></FONT></TD></TR><TR><TD WIDTH=265 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>1</FONT></TD><TD WIDTH=318 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>32, Female, Excite, children's software</FONT></TD></TR><TR><TD WIDTH=265 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>2</FONT></TD><TD WIDTH=318 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>43, Male, Yahoo, math software</FONT></TD></TR><TR><TD WIDTH=265 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>3</FONT></TD><TD WIDTH=318 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>53, Male, Infoseek, software</FONT></TD></TR></TABLE></TD></TR></TABLE><BR><A NAME='{51}'/><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 software enables us to relate the field to predict (in the above table, "total purchases") with the other fields in the database. The output from the data mining analysis can detail this relationship in the form of a decision tree diagram, IF/THEN rules, or a mathematical formula. The score obtained from this analysis can be used to grade new visitors based on their propensity to make purchases equal to the amount modeled via the data mining analysis.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{52}'/><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, then, can be defined as the iterative process of detecting and extracting these patterns from large databases: it's <I>pattern-recognition.</I></FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{53}'/><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 lets us identify "signatures" hidden in large databases, as well as learn from repeated examples. It lets us create models for the detection of, say, future potential customers likely to make a large number of total purchases. Data mining involves various solutions, techniques, and technologies, sometimes in combination, such as predictive modeling and customer profiling, arrived at via various techniques including association, classification, clustering, estimation, optimization, segmentation, sequencing, prediction, and visualization.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{54}'/><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>For the portal company, for example, data mining could be used to predict which visitors will click on what ads or banners by constructing a model based on observations of prior visitors who have behaved both positively and negatively to the advertisement banner. Another end product of data mining is an analysis of these clickthroughs that discovers and describes the factors (e.g., connect time) and the attributes of respondents (e.g., gender) who responded to an ad. This can provide you a profile of who is likely to respond to future ads and assist you in the design of future banners and campaigns.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{55}'/><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 is <I>not</I> query- or user-driven, nor is it a cumulative traffic report of hits to your site. Data mining is instead driven by the need to uncover the hidden undercurrents in the data, such as the "features" of the visitors generating the hits to your site. So far most analyses of websites data have involved "traffic reports," of which most are geared toward providing cumulative accounts of server TCP/IP-specific browser-to-server activity. Most server analysis</FONT><FONT FACE='Times New Roman, Times, Serif' SIZE=3 COLOR=#FFFF00><!-- continue --></FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{56}'/></FORM></P></TD></TR></TABLE><P><FONT SIZE=0 COLOR=WHITE></CENTER><A NAME="bottom"> </A><!-- netLibrary.com Copyright Notice --> </BODY></HTML>⌨️ 快捷键说明
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