An Introduction to Data Analysis using Aggregation Functions in R

Name: An Introduction to Data Analysis using Aggregation Functions in R
Brand: Springer International Publishing AG
SKU: 9783319835792
Price: 8100 KES
Availability: OutOfStock
ISBN: 9783319835792

Softcover reprint of the original 1st ed. 2016

by Simon James

Book Details

Format Paperback / softback

ISBN-10 3319835793

ISBN-13 9783319835792

Edition Softcover reprint of the original 1st ed. 2016

Publisher Springer International Publishing AG

Imprint Springer International Publishing AG

Country of Manufacture GB

Country of Publication GB

Publication Date Jun 29th, 2018

Print length 199 Pages

Product Classification: Probability & statistics Probability and statistics Applied mathematics Maths for computer scientists Artificial intelligence Artificial intelligence (AI)

KSh 8,100.00

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This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools.

This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.

Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.

This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.

Get An Introduction to Data Analysis using Aggregation Functions in R by Simon James at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has 199 pages.