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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_51";var NextPage="Page_53";var CurPage="Page_52";var PageOrder="64";</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_51.html'>Previous</A></TD> <TD ALIGN=RIGHT><A HREF='Page_53.html'>Next</A></TD> </TR> </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_52'/><A NAME='{1E4}'/><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 52</FONT></TD></TR></TABLE><A NAME='{1E5}'/><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>marketing departments use OLAP for market research analysis, sales forecasting, promotion analysis, customer analysis, and market/customer segmentation. Typical manufacturing OLAP applications include production planning and defect analysis. The following are some of the current OLAP tools in the market:</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{1E6}'/><TABLE CELLPADDING=0 CELLSPACING=0 BORDER=0 WIDTH='100%'><TR><TD HEIGHT=12></TD></TR><TR><TD><TABLE CELLSPACING=0 BGCOLOR=#C0C0C0 BORDER=1 BORDERCOLOR=#000000 WIDTH=614 CELLPADDING=5><TR><TD WIDTH=614 VALIGN=TOP><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0 WIDTH='100%'><TR><TD ALIGN=CENTER><FONT FACE='Times New Roman, Times, Serif' SIZE=2><B>Current OLAP Tools</B></FONT></TD></TR></TABLE><FONT FACE='Times New Roman, Times, Serif' SIZE=2>ActiveOLAP, Analyzer, Aperio, Acuity/ES, Acumate ES, Advance for Windows, amis, Arbor Essbase Analysis Server, BrioQuery, Business Objects, Commander OLAP, Decision, Prism, Control, CrossTarget, Crystal Info for Essbase, Cube-It, FICS Group, datadriller, OpenAir Software, Inc., Dataman, DataTracker, dbProbe, DecisionSuite, DecisionView, Delta Solutions ALEA, Demon for Windows, DSS Agent, DynamicCube.OCX, EKS/Empower, Essbase/400, Express Server, Objects Fiscal, Fusion, FYI Planner, Gentia, Harry Cube, Helm, Holos, Hyperion OLAP, InfoBeacon, Informer, inSight, Intelligent Decision Server, IQ/Vision, Khalix, Lightship, Matryx, Media, Metacube, MIK-Solution, MineShare, MIT/400, MUSE, NetCube, NGS-IQ, OpenOLAP, Pablo, ParaScope, PowerPlay, Rapid OLAP, Sagent Datamart Solution, SAS System, SpaceOLAP, StarTrieve The Ant Colony, TM/1, Toto for Excel, Track Objects, Visualizer Plans for OS/2, VSFLEX</FONT></TD></TR></TABLE></TD></TR></TABLE><BR><A NAME='{1E7}'/><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 vs. OLAP</B></FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{1E8}'/><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>With the proliferation of data warehouses, new data mining tools are flooding the market offering to discover hidden gold in your data. Many traditional report and query tools and statistical analysis systems are using the term "data mining" in their product descriptions. In the midst of this marketing activity it is sometimes difficult to know what a data mining tool is and how it works. Perhaps a definition would help in clearing the confusion.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{1E9}'/><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 methodology of data mining involves the extraction of hidden predictive information from large databases. However, with such a broad definition as this, an online analytical processing OLAP product could be said to qualify as a data mining tool. That is where the technology comes in, because for true knowledge discovery to take place, a data mining tool should arrive at this hidden information <I>automatically.</I></FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{1EA}'/><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>Still another difference between OLAP and data mining is how they <I>operate</I> on the data. Similar to the direction of statistics, OLAP is a top-down approach to data analysis. OLAP tools are powerful</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='{1EB}'/></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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