Requirements: .ePUB, .PDF reader, 42.5 MB
Overview: This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or Artificial Intelligence (AI) to provide forecasting capability. R is a command line software. R Studio, a Graphical User Interface (GUI) and integrated programming environment developed for R, provides a user-friendly programming environment by making screen menus for packages, functions, and files, surfing and saving utilities, and concurrent access to multiple scripts, files, and directories. R packages provide pre-programmed functions for a variety of analytical processes. Python is also a command line programming language. Python base is a limited library, available to download with a standard command line editor. Python is available for various operating systems like Windows, macOS, and Linux. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of Artificial Intelligence.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/sBbBd4
https://ouo.io/ELgY84.
