Data science : theory, analysis, and applications / edited by Qurban A Memon, Shakeel Ahmed Khoja.
Material type:
TextPublisher: Boca Raton : CRC Press, [2020]Description: pages cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780367208615Subject(s): Data mining -- Statisical methods | Big data -- Statisical methods | Quantitative researchAdditional physical formats: Online version:: Data scienceDDC classification: 006.312 LOC classification: QA76.9.D343 | D3944 2020Summary: "The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows: Part 1: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science"-- Provided by publisher.
| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Book
|
Central Library (CL) | Central Library (CL) | 006.312 MEM (Browse shelf) | Checked out to Dr Adnan Maqsood (35202-8720347-9) | 11/20/2024 | CL-318 |
Includes bibliographical references and index.
"The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows: Part 1: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science"-- Provided by publisher.
There are no comments on this title.