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Exploratory data mining and data cleaning

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Penilaian

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Data analysts at information-intensive business are frequently asked to analyze new data sets that are often dirty-composed of numerous tables possessing unknown properties. Prior to analysis, this data must be cleaned and explored-often a long and arduous task. Ensuring data quality is a notoriously messy problem that can only be addressed by drawing on methods from many disciplines, including statistics, exploratory data mining, database management, and metadata coding.
Where other books on data mining and analysis focus primarily on the last stage of the analysis procedure, Exploratory Data Mining and Data Cleaning uses a uniquely integrated approach to data exploration and data cleaning to develop a suitable modeling strategy that will help analysts to more effectively determine and implement the final technique.

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Ketersediaan

B20112237	006.3 DAS e	My Library	Tersedia
B20113143	006.3 DAS e	My Library	Tersedia
B20113144	006.3 DAS e	My Library	Tersedia namun tidak untuk dipinjamkan - No Loan

Informasi Detail

Judul Seri

Wiley series in probability and statistics

No. Panggil

006.3 DAS e

Penerbit

: Wiley-Interscience,., 2003

Deskripsi Fisik

xii, 203 p. : - ill. ;

Bahasa

English

ISBN/ISSN

9780471268512

Klasifikasi

006.3

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

-

Subjek

Electronic data processing
Data mining.
SISTEM INFORMASI
INFORMATIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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