An Introduction to Data Analysis using Aggregation Functions in R

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Mathematics, Statistics, General Computing
Cover of the book An Introduction to Data Analysis using Aggregation Functions in R by Simon James, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Simon James ISBN: 9783319467627
Publisher: Springer International Publishing Publication: November 7, 2016
Imprint: Springer Language: English
Author: Simon James
ISBN: 9783319467627
Publisher: Springer International Publishing
Publication: November 7, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Japanese Cinema Between Frames by Simon James
Cover of the book Combined Cycle Driven Efficiency for Next Generation Nuclear Power Plants by Simon James
Cover of the book Mine Seismology: Seismic Response to the Caving Process by Simon James
Cover of the book Corporate Social Responsibility in Europe by Simon James
Cover of the book Cooperative Cognitive Radio Networking by Simon James
Cover of the book Environmental Sustainability from the Himalayas to the Oceans by Simon James
Cover of the book Dynamical Systems with Applications using MATLAB® by Simon James
Cover of the book Women and Children as Victims and Offenders: Background, Prevention, Reintegration by Simon James
Cover of the book Human-Centered Social Media Analytics by Simon James
Cover of the book Homogeneous Catalysis with Renewables by Simon James
Cover of the book Control and Prediction of Solid-State of Pharmaceuticals by Simon James
Cover of the book MOSFET Technologies for Double-Pole Four-Throw Radio-Frequency Switch by Simon James
Cover of the book Building Resilient Cities in China: The Nexus between Planning and Science by Simon James
Cover of the book Re-activation of Vacant Retail Spaces by Simon James
Cover of the book High Speed and Wide Bandwidth Delta-Sigma ADCs by Simon James
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy