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Business analytics using R - A practical approach [electronic resource]

Business analytics using R - A practical approach [electronic resource]

자료유형
E-Book(소장)
개인저자
Hodeghatta, Umesh R. Nayak, Umesh.
서명 / 저자사항
Business analytics using R - A practical approach [electronic resource] / Umesh R. Hodeghatta, Umesh Nayak.
발행사항
Cham :   Springer,   c2017.  
Berkeley, CA :   Apress,   c2017.  
형태사항
1 online resource (xvii, 280 p.) : ill.
ISBN
9781484225134 9781484225141 (e-book)
요약
Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics. This book will discuss and explore the following through examples and case studies: An introduction to R: data management and R functions The architecture, framework, and life cycle of a business analytics project Descriptive analytics using R: descriptive statistics and data cleaning Data mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book. You will: Write R programs to handle data Build analytical models and draw useful inferences from them Discover the basic concepts of data mining and machine learning Carry out predictive modeling Define a business issue as an analytical problem.
일반주기
Title from e-Book title page.  
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Business --Data processing. Management information systems. R (Computer program language).
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245 1 0 ▼a Business analytics using R - A practical approach ▼h [electronic resource] / ▼c Umesh R. Hodeghatta, Umesh Nayak.
260 ▼a Cham : ▼b Springer, ▼c c2017.
260 ▼a Berkeley, CA : ▼b Apress, ▼c c2017.
300 ▼a 1 online resource (xvii, 280 p.) : ▼b ill.
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
520 ▼a Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics. This book will discuss and explore the following through examples and case studies: An introduction to R: data management and R functions The architecture, framework, and life cycle of a business analytics project Descriptive analytics using R: descriptive statistics and data cleaning Data mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book. You will: Write R programs to handle data Build analytical models and draw useful inferences from them Discover the basic concepts of data mining and machine learning Carry out predictive modeling Define a business issue as an analytical problem.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Business ▼x Data processing.
650 0 ▼a Management information systems.
650 0 ▼a R (Computer program language).
700 1 ▼a Nayak, Umesh.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-1-4842-2514-1
945 ▼a KLPA
991 ▼a E-Book(소장)

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No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 658.40380285 등록번호 E14018781 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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