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<title>Data mining teknik pemanfaatan data untuk keperluan bisnis teori dan aplikasi</title>
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<namePart>Budi Santosa</namePart>
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<publisher>Graha ilmu &#38; UIEU-University Press</publisher>
<dateIssued>2007</dateIssued>
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<edition>ed 1</edition>
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<note>BAB 1 PENDAHULUAN;BAB 2 BEBERAPA KONSEP TUJUAN;BAB 3 TEKNIK KLASTERING; BAB 4 ANALISIS DISKRIMINAN;BAB 5 KLASIFIKASI BERDASARKAN TEOREMA BAYES; BAB 6 DECISION TREE; BAB 7 ARTIFICAL NEURAL NETWORKS;BAB 8 SUPPORT VECTOR MACHINES;BAB 9 SUPPORT VECTOR MACHINES UNTUK MULTI-KELAS;BAB 10 REGRESI LINEAR;BAB 11 SUPPORT SVECTOR REGRESI;BAB 12 PEMILIHAN VARIABEL;BAB 13 METODE BERBASIS KERNEL;BAB 14 ATURAN ASOSIASIrn</note>
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