An Introduction to Data Analysis using Aggregation Functions in R

2016-11-07 Computers

Author : Simon James
Release : 2016-11-07
Genre : Computers
Kind : eBook
Book Rating : 62X/5 ( reviews)

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Book Synopsis An Introduction to Data Analysis using Aggregation Functions in R by : Simon James

Download or read book An Introduction to Data Analysis using Aggregation Functions in R written by Simon James. This book was released on 2016-11-07. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Discrete Fuzzy Measures

2019-03-19 Technology & Engineering

Author : Gleb Beliakov
Release : 2019-03-19
Genre : Technology & Engineering
Kind : eBook
Book Rating : 053/5 ( reviews)

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Book Synopsis Discrete Fuzzy Measures by : Gleb Beliakov

Download or read book Discrete Fuzzy Measures written by Gleb Beliakov. This book was released on 2019-03-19. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses computer scientists, IT specialists, mathematicians, knowledge engineers and programmers, who are engaged in research and practice of multicriteria decision making. Fuzzy measures, also known as capacities, allow one to combine degrees of preferences, support or fuzzy memberships into one representative value, taking into account interactions between the inputs. The notions of mutual reinforcement or redundancy are modeled explicitly through coefficients of fuzzy measures, and fuzzy integrals, such as the Choquet and Sugeno integrals combine the inputs. Building on previous monographs published by the authors and dealing with different aspects of aggregation, this book especially focuses on the Choquet and Sugeno integrals. It presents a number of new findings concerning computation of fuzzy measures, learning them from data and modeling interactions. The book does not require substantial mathematical background, as all the relevant notions are explained. It is intended as concise, timely and self-contained guide to the use of fuzzy measures in the field of multicriteria decision making.

Handbook of Research on Multidisciplinary Perspectives on Managerial and Leadership Psychology

2021-01-22 Psychology

Author : Johnson, Rick D.
Release : 2021-01-22
Genre : Psychology
Kind : eBook
Book Rating : 129/5 ( reviews)

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Book Synopsis Handbook of Research on Multidisciplinary Perspectives on Managerial and Leadership Psychology by : Johnson, Rick D.

Download or read book Handbook of Research on Multidisciplinary Perspectives on Managerial and Leadership Psychology written by Johnson, Rick D.. This book was released on 2021-01-22. Available in PDF, EPUB and Kindle. Book excerpt: The subject of leadership and managerial psychology exists as a sub-branch of psychology within the fields of industrial and organizational psychology. There still appears to be ongoing debate regarding the core pathology for gaining managerial expertise in professional roles relative to having suitable leadership skills and managerial knowledge beyond the direct daily work involved in organizations. Professional organizations inherently include varied levels of sensitive human interactions, which further necessitates their management professionals to have leadership styles that are adjustable contingent on a given situation. Relative to this edited book, managerial psychology is being utilized in a way that may subsequently seek to develop a series of scientific theory principles where the focus is to develop managerial axioms that advance contemporary existing knowledge surrounding professional management logic. The Handbook of Research on Multidisciplinary Perspectives on Managerial and Leadership Psychology provides value uncovered by a collaboration of generalists and specialists who bring professional managerial and leadership opinions to light through narratives and research inclusive of fundamental theory principles that can be applied in practice and academia. This edited reference is focused on the enhancement of management research through managerial psychology while highlighting topics including business process knowledge, management in diverse discipline situations and professions, corporate leadership responsibility, leadership of self and others, and leadership psychology in a variety of different fields of work. This book is ideally designed for leadership and management professionals, academicians, students, and researchers in the fields of knowledge management, administrative sciences and management, leadership development, education, and organization development sub-branches or specialty practices.

Aggregation Functions

2009-07-09 Computers

Author : Michel Grabisch
Release : 2009-07-09
Genre : Computers
Kind : eBook
Book Rating : 268/5 ( reviews)

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Book Synopsis Aggregation Functions by : Michel Grabisch

Download or read book Aggregation Functions written by Michel Grabisch. This book was released on 2009-07-09. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous and self-contained exposition of aggregation functions and their properties.

Hands-On Data Science with R

2018-11-30 Mathematics

Author : Vitor Bianchi Lanzetta
Release : 2018-11-30
Genre : Mathematics
Kind : eBook
Book Rating : 834/5 ( reviews)

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Book Synopsis Hands-On Data Science with R by : Vitor Bianchi Lanzetta

Download or read book Hands-On Data Science with R written by Vitor Bianchi Lanzetta. This book was released on 2018-11-30. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide for professionals to perform various data science tasks in R Key FeaturesExplore the popular R packages for data scienceUse R for efficient data mining, text analytics and feature engineeringBecome a thorough data science professional with the help of hands-on examples and use-cases in RBook Description R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems. The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data. Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity. What you will learnUnderstand the R programming language and its ecosystem of packages for data scienceObtain and clean your data before processingMaster essential exploratory techniques for summarizing dataExamine various machine learning prediction, modelsExplore the H2O analytics platform in R for deep learningApply data mining techniques to available datasetsWork with interactive visualization packages in RIntegrate R with Spark and Hadoop for large-scale data analyticsWho this book is for If you are a budding data scientist keen to learn about the popular pandas library, or a Python developer looking to step into the world of data analysis, this book is the ideal resource you need to get started. Some programming experience in Python will be helpful to get the most out of this course

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