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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_5";var NextPage="Page_7";var CurPage="Page_6";var PageOrder="18";</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_5.html'>Previous</A></TD> <TD ALIGN=RIGHT><A HREF='Page_7.html'>Next</A></TD> </TR> </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_6'/><A NAME='{57}'/><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 6</FONT></TD></TR></TABLE><A NAME='{58}'/><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>packages lack the ability to provide any true business insight about customer demographics and online behavior, although some are moving in that direction as electronic commerce heats up.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{59}'/><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>Current traffic analysis tools, like Accrued, Andromedia, HitList, NetIntellect, NetTracker, and WebTrends, are geared at providing high-level predefined reports about domain names, IP addresses, browsers, cookies, and other machine-to-machine activity. These software packages originated from the need to report on the activity of the <I>server</I> and not on the behavior of its <I>visitors.</I> These server activity reports simply do not provide the type of bottom-line analysis that retailers, service providers, marketers, and advertisers in the business world have come to demand.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{5A}'/><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 obviously requires the strategic use of a special type of software: one that is based on artificial intelligence technologies, such as self-organizing or back propagating neural networks or genetic and machine-learning algorithms. It may involve using the output from these tools with graphs and maps or incorporating code into production systems or automated e-mail generators. However, data mining is much more than its software tools; it is a <I>process</I> that involves a set of methodologies and procedures for extracting and preparing the data and then incorporating the solutions into your business and website. Data mining, for example, can involve the strategic capturing of visitor information via registration forms, merging of this online data with additional demographics, and then analyzing it with powerful pattern recognition software for the creation of predictive models. The formats of data mining are as varied and diverse as the multiple approaches and technologies. What you get out of data mining will to a large extent depend on what you require from it: it may be executable C code, SQL syntax, a 3D graph or map, a decision trees, or a set of rules. The end product of data mining, however, is <I>insight</I> about the identity and preferences of your online customers.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{5B}'/><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>Most often, data mining is about providing business and marketing solutions using a combination of resources and techniques—a combination driven by not just the data mining tools you use, but also your IT resources, the analysts' skills, the quality of the data available for the analysis, and the support of the marketing and web team members. Data mining often requires developing some strategic techniques for preparing your server data and enhancing its value. Most of the data in today's systems, such as web servers, were designed for transaction processing, not for analysis. In the mining of website databases you will be involved in working with structured data, such as logs files and databases created from registration or purchase</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='{5C}'/></FORM></P></TD></TR></TABLE><P><FONT SIZE=0 COLOR=WHITE></CENTER><A NAME="bottom"> </A><!-- netLibrary.com Copyright Notice --> </BODY></HTML>?? 快捷鍵說明
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