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Electronic instrumens and instrumentation technology

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Increasing use of computers, leads to accumulation of data of an organization, demanding the need of sophisticated data handling techniques. Many data handling concepts have evolved that support data analysis, and knowledge discovery. Data warehouse and Data mining techniques are playing an important role in the area of data analysis for knowledge discovery. These techniques typically address the four basic applications such as data classification, data clustering, association between data and finding sequential patterns between the data. Various algorithms that address to classification on large data sets have proved to be efficient in classifying the variables of known or certain characteristics. However they are less effective when applied to the analysis of variable of unknown or uncertain characteristics and creating classes by combining multiple correlated variables in real world. A methodology presented in the paper that addresses two major issues of data classification using decision tree, 1) classification of variables of unknown or uncertain characteristics, 2) creating classification by combining multiple correlated variables

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

621.3815 ANA e

Penerbit

nEW dELHI : Prentice-Hall., 2004

Deskripsi Fisik

xxi, 728 p: illus.; 23 cm.

Bahasa

English

ISBN/ISSN

81-203-2454-4

Klasifikasi

621.3815

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Title
ELECTRONIC INSTRUMENT I

Info Detail Spesifik

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Pernyataan Tanggungjawab

ANAND, M.M.S

Versi lain/terkait

Lampiran Berkas

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