page_362.html

怎样挖掘你的网站的内容。本领域内唯一的书

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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>defined, <A HREF='Page_356.html#JUMPDEST_Page_356'>356</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>in machine-learning algorithms, <A HREF='Page_98.html#JUMPDEST_Page_98'>98</A>-99</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>when to use, <A HREF='Page_104.html#JUMPDEST_Page_104'>104</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>channels, <A HREF='Page_129.html#JUMPDEST_Page_129'>129</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>chat, <A HREF='Page_130.html#JUMPDEST_Page_130'>130</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>Chorus, <A HREF='Page_242.html#JUMPDEST_Page_242'>242</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>chromosomes, <A HREF='Page_107.html#JUMPDEST_Page_107'>107</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>churn</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>defined, <A HREF='Page_356.html#JUMPDEST_Page_356'>356</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>models, <A HREF='Page_119.html#JUMPDEST_Page_119'>119</A>-121</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>city dwellers category, <A HREF='Page_236.html#JUMPDEST_Page_236'>236</A>-237</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>Claritas, <A HREF='Page_48.html#JUMPDEST_Page_48'>48</A>-49, <A HREF='Page_238.html#JUMPDEST_Page_238'>238</A>-239</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>classification, <A HREF='Page_10.html#JUMPDEST_Page_10'>10</A>-11, <A HREF='Page_30.html#JUMPDEST_Page_30'>30</A>-32</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>defined, <A HREF='Page_356.html#JUMPDEST_Page_356'>356</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>in e-mining, <A HREF='Page_325.html#JUMPDEST_Page_325'>325</A>-331</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>with GAs, <A HREF='Page_112.html#JUMPDEST_Page_112'>112</A>-113</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>with neural networks, <A HREF='Page_97.html#JUMPDEST_Page_97'>97</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>when to use, <A HREF='Page_122.html#JUMPDEST_Page_122'>122</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>Clementine, <A HREF='Page_49.html#JUMPDEST_Page_49'>49</A>, <A HREF='Page_96.html#JUMPDEST_Page_96'>96</A>-97, <A HREF='Page_174.html#JUMPDEST_Page_174'>174</A>-178</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>algorithms in, <A HREF='Page_103.html#JUMPDEST_Page_103'>103</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>data preparation for, <A HREF='Page_174.html#JUMPDEST_Page_174'>174</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>disadvantages of, <A HREF='Page_177.html#JUMPDEST_Page_177'>177</A>-178</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>linking clustering to rule generation in, <A HREF='Page_175.html#JUMPDEST_Page_175'>175</A>-177</FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>linking supervised and unsupervised learning in, <A HREF='Page_178.html#JUMPDEST_Page_178'>178</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>machine-learning in, <A HREF='Page_106.html#JUMPDEST_Page_106'>106</A></FONT></TD>
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  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>modeling with, <A HREF='Page_174.html#JUMPDEST_Page_174'>174</A>-175</FONT></TD>
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