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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_184";var NextPage="Page_186";var CurPage="Page_185";var PageOrder="194";</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_184.html'>Previous</A></TD> <TD ALIGN=RIGHT><A HREF='Page_186.html'>Next</A></TD> </TR> </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_185'/><A NAME='{65D}'/><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 185</FONT></TD></TR></TABLE><A NAME='{65E}'/><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>a custom GUI for most applications. Each of their four applications—Neural Nets, Clustering, Genetic Algorithms, and Association Rules—costs $135,000. NeoVista is currently providing decision support software and services to large retailers, banks, and telcos. A typical NeoVista install involves several weeks of on-site interviews by its knowledge engineers for purposes of identifying the business problems, which their data mining solutions have been purchased to solve.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{65F}'/><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><I>Enterprise Miner (SAS).</I> Enterprise Miner is an SAS System entry into the data mining market. As with everything SAS sells, Enterprise Miner is an add-on module to the SAS base system. It provides a GUI to three mining modules: the SAS Neural Network Application and the SAS Decision Tree Application, for building CHAID-based decision trees, and an SAS Regression Application. Bundled with the product is the SAS/Insight visualization tool for data exploration. A useful feature of EM is its integrated methodology that allows users to run regression, a back-propagation neural network, and a decision tree side by side and then integrate their results in a visualization module. The technology is very basic with no special algorithms or features in the neural network or decision tree modules. The most powerful feature of EM is the installed base of SAS users, which is sizeable, especially with financial related firms.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{660}'/><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><I>GainSmarts (Urban Sciences).</I> GainSmarts provides data analysis, statistical modeling, and financial measurement for vertical market segments, including the automotive and financial services industries. For the automotive sector it lets dealers and sales managers ''see" their best opportunities in an array of useful charts, maps, and reports. Their tool provides "what-if" scenarios for new and used vehicle sales departments. Gain guides users to the hidden potential in automotive dealerships through advanced data visualization, mapping, and intelligent performance benchmarking. For the financial sector it provides a turnkey system specifically designed for prospect targeting, response prediction, customer retention, loyalty measurement, cross-selling, and offer management. Gain uses decision tress, genetic algorithms, and gain tables to chart expected profitability for mail campaigns. It uses genetic algorithms to optimize the CHAID decision trees, a technique, although computationally intensive, that does improve results.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{661}'/><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><I>Intelligent Miner (IBM).</I> IBM's Intelligent Miner is a set of tools for classification, association, and sequence discovery, time series, clustering, and regression. For classification it uses a decision tree and</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='{662}'/></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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