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Beschreibung
Prof. Dr. Frank Emmert-Streib,
Tampere University, Finnland

Frank Emmert-Streib is a Professor of Data Science at Tampere University, Finland, in the Faculty of Information Technology and Communication Sciences. His research interests are in the fields machine learning, artificial intelligence, statistics and network science in the development and application of methods for the analysis of big data from genomics, finance, business and social media.

Prof Dr Matthias Dehmer
UMIT-The Health and Life Science University
Hall, Tyrol, Austria,

Matthias Dehmer is Professor at UMIT - The Health and Life Sciences University. Also he holds a Guest Professorship at Nankai University. His research interests are in complex networks, complexity, data science, predictive analytics, machine learning and information theory. He published more than 225 publications in computer science and related disciplines.

Dr. Salissou Moutari
Queens University Belfast, UK

Salissou Moutari is a Senior Lecturer at Queen's University Belfast (UK), Centre for Statistical Science and Operational Research. He has more than 10 years of experience in Operational Research, Statistical Data Analysis, Predictive, Prescriptive and Decisive Analytics and also dealt with Mathematical Modelling, Computational Mathematics and Complex Systems Analysis. He is currently working in Operational Research and Computational Mathematics. He published more than 35 peer-reviewed publications.

Prof. Dr. Frank Emmert-Streib,
Tampere University, Finnland

Frank Emmert-Streib is a Professor of Data Science at Tampere University, Finland, in the Faculty of Information Technology and Communication Sciences. His research interests are in the fields machine learning, artificial intelligence, statistics and network science in the development and application of methods for the analysis of big data from genomics, finance, business and social media.

Prof Dr Matthias Dehmer
UMIT-The Health and Life Science University
Hall, Tyrol, Austria,

Matthias Dehmer is Professor at UMIT - The Health and Life Sciences University. Also he holds a Guest Professorship at Nankai University. His research interests are in complex networks, complexity, data science, predictive analytics, machine learning and information theory. He published more than 225 publications in computer science and related disciplines.

Dr. Salissou Moutari
Queens University Belfast, UK

Salissou Moutari is a Senior Lecturer at Queen's University Belfast (UK), Centre for Statistical Science and Operational Research. He has more than 10 years of experience in Operational Research, Statistical Data Analysis, Predictive, Prescriptive and Decisive Analytics and also dealt with Mathematical Modelling, Computational Mathematics and Complex Systems Analysis. He is currently working in Operational Research and Computational Mathematics. He published more than 35 peer-reviewed publications.

Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: XVI
408 S.
140 farbige Illustr.
140 col. ill.
ISBN-13: 9783110795882
ISBN-10: 3110795884
Sprache: Englisch
Einband: Gebunden
Autor: Emmert-Streib, Frank/Moutari, Salissou/Dehmer, Matthias
Auflage: 2/2022
Hersteller: De Gruyter Oldenbourg
Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, D-10785 Berlin, productsafety@degruyterbrill.com
Maße: 245 x 175 x 32 mm
Von/Mit: Frank/Moutari, Salissou/Dehmer, Matthias Emmert-Streib
Erscheinungsdatum: 24.10.2022
Gewicht: 1,157 kg
Artikel-ID: 122183639

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