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1<?xml version="1.0" encoding="utf-8" standalone="no"?>
2<!DOCTYPE Archive SYSTEM "http://greenstone.org/dtd/Archive/1.0/Archive.dtd">
3<Archive>
4<Section>
5 <Description>
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15 <Metadata name="dc.Date">1996.</Metadata>
16 <Metadata name="dc.Description">Includes bibliographical references (leaves 11-12)</Metadata>
17 <Metadata name="dc.Creator">Cunningham, Sally Jo.</Metadata>
18 <Metadata name="dc.Creator">Witten, I. H. (Ian H.).</Metadata>
19 <Metadata name="dc.Subject">Machine learning.</Metadata>
20 <Metadata name="dc.Creator">University of Waikato. Dept. of Computer Science.</Metadata>
21 <Metadata name="dc.Description">&quot;October 1996.&quot;</Metadata>
22 <Metadata name="dc.Publisher">Dept. of Computer Science, University of Waikato,</Metadata>
23 <Metadata name="dc.Creator">Humphrey, Matthew C. (Matthew Cameron)</Metadata>
24 <Metadata name="dc.Title">Understanding what machine learning produces. Part II, Knowledge visualization techniques / by Matt Humphrey, Sally Jo Cunningham and Ian H. Witten.</Metadata>
25 <Metadata name="dc.Publisher">Hamilton, N.Z. :</Metadata>
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32 </Description>
33 <Content>&lt;pre&gt;
34 LDR 01044cam 2200253 a 4500
35001 306648
36005 20031029034100.0
37010 _o zbn96-121821
38035 _a (nzNZBN)9925159
39008 s1996 nz a b x eng d
40035 _9 ABK-3962
41092 _a QA75.5.W926 no.96/22
42100 10 _a Humphrey, Matthew C.
43 _q (Matthew Cameron)
44245 10 _a Understanding what machine learning produces.
45 _n Part II,
46 _p Knowledge visualization techniques /
47 _c by Matt Humphrey, Sally Jo Cunningham and Ian H.
48 Witten.
49260 0 _a Hamilton, N.Z. :
50 _b Dept. of Computer Science, University of Waikato,
51 _c 1996.
52300 _a 12 leaves :
53 _b ill. ;
54 _c 30 cm.
55490 1 _a Working paper series,
56 _x 1170-487X ;
57 _v 96/22
58500 _a &quot;October 1996.&quot;
59504 _a Includes bibliographical references (leaves 11-12)
60650 0 _a Machine learning.
61700 1 _a Cunningham, Sally Jo.
62700 1 _a Witten, I. H.
63 _q (Ian H.).
64710 _a University of Waikato.
65 _b Dept. of Computer Science.
66830 0 _a Working paper series (University of Waikato. Dept. of
67 Computer Science) ;
68 _v 96/22.
69&lt;/pre&gt;
70</Content>
71</Section>
72</Archive>
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