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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_344";var NextPage="Page_346";var CurPage="Page_345";var PageOrder="352";</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_344.html'>Previous</A></TD> <TD ALIGN=RIGHT><A HREF='Page_346.html'>Next</A></TD> </TR> </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_345'/><A NAME='{B4E}'/><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 345</FONT></TD></TR></TABLE><A NAME='{B4F}'/><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>gain as much insight as possible about your website visitors and customers (Figure 9-46).</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{B50}'/><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>Data Mining Future</B></FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{B51}'/><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 data mining industry is a relatively new one. Most companies are recent startups. There are over a hundred companies providing an assortment of tools and services, consulting and seminars, and even specialized hardware. Surprisingly, almost all of them are concentrating their efforts exclusively in the area of datamarts and data warehouses; no company is looking at the Web as a potential market for mining (with the possible exception of Aptex, a spin-off from HNC). This is astonishing, in light of the explosive growth of electronic commerce and the Web as a marketing and retailing channel. As websites increasingly becomes the first point of contact between a company and its current and future customers the mining of this transactional data will grow in importance. So far most of these efforts have involved traffic reports, collaborative filtering, and the aggregate pooling of cookies. Few companies are looking at data mining technology to analyze the customer information being generated from their website.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{B52}'/><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>Soon the core data mining technology will begin to be incorporated directly into web server systems in order to directly complement e-commerce activities. There is also considerable emerging research in the fields of databases, machine learning, applied statistics, visualization, and other fields relevant to data mining and knowledge discovery. Despite all the activities both in the market and in R&D laboratories, the field of data mining is still in its infancy. The data mining market is still in the early adoption phase, with most products and vendors still not fully matured. Many of the current commercial products do not yet have the robustness, scalability, and functionality that customers expect from other, more mature technologies. Various data-mining algorithms impose serious restrictions on their application. The process of data mining is far from automated, and is more an art than a science, and therefore quite difficult to use effectively. The field of data mining websites is also an interdisciplinary one, requiring cross-fertilization of several fields. It introduces new complexity involving logs, cookies, HTTP, CGI, and evolving new technologies from the field of electronic commerce like Java. Having said all of that, the benefits of e-mining can be staggering.</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='{B53}'/></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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