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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_3";var NextPage="Page_5";var CurPage="Page_4";var PageOrder="16";</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_3.html'>Previous</A></TD> <TD ALIGN=RIGHT><A HREF='Page_5.html'>Next</A></TD> </TR> </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_4'/><A NAME='{48}'/><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 4</FONT></TD></TR></TABLE><A NAME='{49}'/><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>However, this search engine company really did not know who it was attracting or who was leaving its website. It did not know who its most valuable visitors were, or why. Like many major and small websites, this Internet company was discarding the valuable intelligence it was gathering every hour of every day—it was not mining the information it was accumulating from its millions of visitors. Although it was moving in the direction of data mining (due to pressure from advertisers), it did not know the characteristics and behavior of its visitors. It was placing ads in front of visitors based on the keywords they entered, rather than observed patterns modeled from data mining. It was a hardwired solution to an application ideally suited to modeling of observed human behavior.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{4A}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR> <TD ROWSPAN=5></TD> <TD COLSPAN=3 HEIGHT=17></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>Mining Data</B></FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{4B}'/><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, in a nutshell, is inductive data analysis. When data is too large and complex to be examined by humans, a summation in the form of a ratio or a formula can often reveal a pattern. The voluminous amounts of data generated from a website, for example, often hide patterns that reveal conditions when visitors are likely to make purchases or click on certain ads or banners.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{4C}'/><TABLE CELLPADDING=0 CELLSPACING=0 BORDER=0 WIDTH='100%'><TR><TD HEIGHT=12></TD></TR><TR><TD><TABLE CELLSPACING=0 RULES=ROWS WIDTH=583 CELLPADDING=5><TR><TD WIDTH=151 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>IF</FONT></TD><TD WIDTH=144 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>domain</FONT></TD><TD WIDTH=144 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>AOL</FONT></TD><TD WIDTH=144 VALIGN=TOP>⌨️ 快捷键说明
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