Applied Statistical Techniques for Data Mining

Language: English

Published by Scholars' Press, 2022

6202319038 / 9786202319034

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nach der Bestellung gedruckt Neuware - Printed after ordering - Data cleansing is a critical step for data preparation. The values lost in the database are a common problem faced by data analysts. Missing values in data mining is continual troubles that can grounds errors in data analysis. Randomly missing elements in the attribute/dataset make data analysis complicated and also confused to consolidated result. It affects the accuracy of the result and intermediate queries. By using statistical / numerical methods, one can recover the missing data and decrease the suspiciousness in the database. The present research gives an applied approach of Newton Forward Interpolation (NFI) method to recover the missing values and other different methods also.Data in the dataset is always remaining as the basic building blocks for any query and further task and decisions. If basis data is incomplete or dataset have missing values the none cannot assume about well up to date final reports. In data mining missing values recognition and recovery is still major issue with irregular data. To overcome from such situation there is need of statistical or numerical techniques to recover the missing values in the dataset.…

Seller Inventory # 9786202319034

Title
Applied Statistical Techniques for Data Mining
Author
Darshana Pandya
Publisher
Scholars' Press
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6202319038
ISBN 13
9786202319034
Item weight
364 grams
Dimensions
220x150x14 mm

AHA-BUCH GmbH

Einbeck, Germany

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