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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_185";var NextPage="Page_187";var CurPage="Page_186";var PageOrder="195";</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_185.html'>Previous</A></TD> <TD ALIGN=RIGHT><A HREF='Page_187.html'>Next</A></TD> </TR> </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_186'/><A NAME='{663}'/><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 186</FONT></TD></TR></TABLE><A NAME='{664}'/><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>neural networks and for clustering it uses a Kohonen neural net. Most of the algorithms have been parallelized for scalability. Models can be built using either a GUI or an API. Intelligent Miner is tightly coupled with DB2, which also must be installed, but Miner supports input from sources such as ASCII files.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{665}'/><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>MineSet (SGI).</I> MineSet from Silicon Graphics Inc. is a set of data mining tools that combine classification and association algorithms with a high degree of visualization. Their strongest and most notable features are in the integration of data mining analytic tools with high-end visualization tools for user exploration and navigation of data sets and mining results. The product's data mining tools include the Association Rule Generator, Decision Tree Inducer for classification, Evidence Inducer, and Column Importance determination utility. All the algorithms, except association, are based on the Machine-Learning Library in C++ (MLC++) code developed at Stanford University.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{666}'/><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>Visualizers, such as the Map Visualizer and the Scatter Visualizer, work directly with data to explore relationships and trends. Models are presented to the user for analysis using 3D visualization. Model results are displayed with visualizers such as the Tree Visualizer, which lets the user explore a decision tree model in a 3D format. The tools present several dimensions of data simultaneously by using color, size, and animation. The visualizers support filtering, querying, rotation, zooming, and panning, and can be customized by the user. SGI has added k-means and iterative k-means algorithms for clustering and has developed graphical outputs for clustering in its visualizer. MineSet 2.5 also supports regression trees for the generation of decision trees. The software can now create decision tree models on continuous variables.</FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{667}'/><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>Orchestrate (Torrent Systems).</I> Orchestrate is an excellent object-oriented application environment designed for building and deploying scalable data processing software systems. Based on the data-flow model of application programming and execution, Orchestrate consists of two parts: the Orchestrate Application Framework and Runtime System and Orchestrate Components. Developers build Orchestrate Applications using standard UNIX shell-scripting techniques to combine existing sequential programs with Orchestrate components to construct a sequential data-flow Orchestrate program. Developers build Orchestrate Components using Orchestrate's robust C++ Component Development Interface. The Orchestrate Application Framework and Runtime System is a parallel software infrastructure which maps the sequen-</FONT><FONT FACE='Times New Roman, Times, Serif' SIZE=3 COLOR=#FFFF00><!-- soft --></FONT></TD><TD></TD></TR><TR> <TD COLSPAN=3></TD></TR><TR> <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{668}'/></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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