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UEU » Course Material » Manajemen Informasi Kesehatan
Posted by [email protected] at 29/03/2018 11:33:32  •  1015 Views


MODUL MATA KULIAH DATA MINING III (MIK 620 SESI 10)

Created by :
Noviandi., M.Kom ( 0318018202 )



SubjectKOMPUTER
DATA
Alt. Subject COMPUTER
DATA
KeywordPendekatan Statistic
K-Nearest Neighbor
Outlier Removal Clustering

Description:

Pra-proses dilakukan karena dimungkinkan data set yang tidak lengkap, mengandung noise atau outlier, data tidak konsisten, atau ada data yang berulang. Tujuan penting dari pra-proses data adalah untuk meningkatkan kualitas data, sehingga proses data mining juga menghasilkan pengetahuan baru yang lebih baik. Tugas utama dalam pra-proses data adalah pembersihan data, integrasi data, transformasi data, reduksi data dan diskretisasi data. Outlier disebut juga noise didefinisikan sebagai titik yang terletak sangat jauh dari rata-rata variabel random pada umumnya yang berkorelasi dengan titik tersebut. Jumlah outlier biasanya sedikit, dan outlier biasanya dibuang dari data yang diproses.

Date Create:29/03/2018
Type:Text
Format:PDF
Language:Indonesian
Identifier:UEU-Course-7_00263_
Collection ID:7_00263_


Source :
MODUL PRAKTIKUM

Relation Collection:
Fakultas Ilmu Kesehatan

Coverage :
Civitas Akademika Universitas Esa Unggul

Rights :
@2018 Perpustakaan Universitas Esa Unggul


Publication URL :
https://digilib.esaunggul.ac.id/modul-mata-kuliah-data-mining-iii-mik-620-sesi-10-10189.html




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Clustering , K-Nearest , K-Nearest Neighbor , Neighbor , Outlier , Outlier Removal Clustering , Pendekatan , Pendekatan Statistic , Removal , Statistic



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