Data analysis and applications. 3, Computational, classification, financial, statistical and stochastic methods / edited by Andreas Makrides, Alex Karagrigoriou, Christos H. Skiadas.

Format:

Book

Contributor:

Makridēs, Antreas, editor.

Karagrigoriou, Alex, editor.

Skiadas, Christos H., editor.

Series:

Innovation, entrepreneurship and management series. Big data, artificial intelligence and data analysis set ; volume 5.

Innovation, entrepreneurship and management series. Big data, artificial intelligence and data analysis set ; Volume 5

Language:

English

Subjects (All):

Computer industry.

Computational techniques.

Physical Description:

1 online resource (267 pages).

Place of Publication:

London : ISTE, [2020]

Summary:

Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into two parts: Computational Data Analysis, and Classification Data Analysis, with methods for both - providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.

ISBN:

9781119721864

1119721865

9781119721826

1119721822

9781119721871

1119721873

OCLC:

1151336357