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Data analytics [electronic resource] : models and algorithms for intelligent data analysis / 2nd ed

Data analytics [electronic resource] : models and algorithms for intelligent data analysis / 2nd ed

자료유형
E-Book(소장)
개인저자
Runkler, Thomas A.
서명 / 저자사항
Data analytics [electronic resource] : models and algorithms for intelligent data analysis / Thomas A. Runkler.
판사항
2nd ed.
발행사항
Wiesbaden :   Springer Fachmedien Wiesbaden :   Imprint: Springer Vieweg,   c2016.  
형태사항
1 online resource (xii, 150 p.) : ill.
ISBN
9783658140755
요약
This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens. Content Data Analytics Data and Relations Data Preprocessing Data Visualization Correlation Regression Forecasting Classification Clustering Target Groups Students of computer science, mathematics and engineering Data analytics practitioners The Author Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.
일반주기
Title from e-Book title page.  
내용주기
Data Analytics -- Data and Relations -- Data Preprocessing -- Data Visualization -- Correlation -- Regression -- Forecasting -- Classification -- Clustering.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Computer science. Data mining. Data structures (Computer science).
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020 ▼a 9783658140755
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100 1 ▼a Runkler, Thomas A.
245 1 0 ▼a Data analytics ▼h [electronic resource] : ▼b models and algorithms for intelligent data analysis / ▼c Thomas A. Runkler.
250 ▼a 2nd ed.
260 ▼a Wiesbaden : ▼b Springer Fachmedien Wiesbaden : ▼b Imprint: Springer Vieweg, ▼c c2016.
300 ▼a 1 online resource (xii, 150 p.) : ▼b ill.
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a Data Analytics -- Data and Relations -- Data Preprocessing -- Data Visualization -- Correlation -- Regression -- Forecasting -- Classification -- Clustering.
520 ▼a This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens. Content Data Analytics Data and Relations Data Preprocessing Data Visualization Correlation Regression Forecasting Classification Clustering Target Groups Students of computer science, mathematics and engineering Data analytics practitioners The Author Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer science.
650 0 ▼a Data mining.
650 0 ▼a Data structures (Computer science).
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-658-14075-5
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.312 등록번호 E14023426 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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