Three types of attributesNominal—va

Three types of attributes
Nominal—values from an unordered set, e.g., color, profession
Ordinal—values from an ordered set, e.g., military or academic rank
Numeric—real numbers, e.g., integer or real numbers
Discretization: Divide the range of a continuous attribute into intervals
Interval labels can then be used to replace actual data values
Reduce data size by discretization
Supervised vs. unsupervised
Split (top-down) vs. merge (bottom-up)
Discretization can be performed recursively on an attribute
Prepare for further analysis, e.g., classification

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Three types of attributesNominal—values from an unordered set, e.g., color, professionOrdinal—values from an ordered set, e.g., military or academic rank Numeric—real numbers, e.g., integer or real numbersDiscretization: Divide the range of a continuous attribute into intervalsInterval labels can then be used to replace actual data values Reduce data size by discretizationSupervised vs. unsupervisedSplit (top-down) vs. merge (bottom-up)Discretization can be performed recursively on an attributePrepare for further analysis, e.g., classification

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Results (Indonesian) 2:[Copy]

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Tiga jenis atribut
Nominal-nilai dari set unordered, misalnya, warna, profesi
Ordinal-nilai dari set memerintahkan, misalnya, pangkat militer atau akademik
nomor Numeric-nyata, misalnya, integer atau bilangan real
Discretization: Bagilah jangkauan kontinyu atribut dalam interval
label interval kemudian dapat digunakan untuk menggantikan nilai-nilai data aktual
Mengurangi ukuran data dengan diskritisasi
dengan pengawasan vs tanpa pengawasan
Berpisah (top-down) vs penggabungan (bottom-up)
discretization dapat dilakukan secara rekursif pada atribut
Siapkan untuk analisis lebih lanjut, misalnya, klasifikasi

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Results (Indonesian) 3:[Copy]

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