Social Data Analytics (eBook, ePUB) von Amin Beheshti; Samira Ghodratnama; Mehdi Elahi; Helia Farhood

This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and tec...

Weiterlesen / Aufklappen

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Geräte: eReader
mit Kopierschutz
eBook Hilfe

Barrierefreiheit

Text-to-Speech
E-Mail des Verlags für Barrierefreiheitsfragen: ebookqueries@tandf.co.uk
Alle Texte können hinsichtlich Größe, Schriftart und Farbe angepasst werden
ARIA-Rollen für verbesserte strukturelle Navigation
Navigation über vor-/zurück-Elemente ohne Inhaltsverzeichnis
Seitennummerierung folgt dem gedruckten Werk
Mathematische Inhalte in MathML für assistive Technologien
Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
Text und Medien in logischer Lesereihenfolge angeordnet
Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien
Keine Einschränkung der Vorlesefunktionen, außer bei spezifischen Ausnahmen

Amin Beheshti is Full Professor of Data Science and the Director of AI-enabled Processes Research Centre at Macquarie University, Sydney, Australia. Amin is also the head of the Data Analytics Research Lab and Adjunct Academic in Computer Science at UNSW Sydney. Amin completed his Ph.D. and Postdoc in Computer Science and Engineering at UNSW Sydney and holds both a master's and bachelor's degree in Computer Science, both with First Class Honours. Amin has been recognized as a high-quality researcher in Big-Data/Data/Process Analytics and served as Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair, and program committee member of top international conferences. Amin has contributed to many research and industry projects, and currently leading over 20 large research projects with highprofile companies. He is the leading author of several books in data, social, and process analytics, co-authored with other high-profile researchers.

Samira Ghodratnama is Senior Applied Machine Learning Scientist at Grainger Technology Group, USA, working on real-world problems related to Natural Language Processing (NLP). She is also a research fellow at Macquarie University, Sydney, Australia and Arizona State University, USA, working on complex research problems in the area of text mining, machine learning, and information extraction. Samira has extensive experience building data-centric applications. She holds a Ph.D. in Computer Science from Macquarie University, Sydney, Australia.

Mehdi Elahi is Associate Professor at the University of Bergen, Norway and Adjunct Professor at the Norwegian School of Economics, one of the leading business schools in Europe. He also holds an Honorary Associate Professor position at Macquarie University, Sydney, Australia. He is a co-author and WP-Leader of a large-scale SFI project (budget: 26 Million Euro), where he collaborates with the largest international industry players in the Media sector in Norway. Mehdi obtained his Ph.D. degree in Computer Science. His research has mainly focused on AI, Data Science, and Cognitive Science and their potential industrial applications such as recommendation and personalization systems.

Helia Farhood is Research Fellow in Data Science at Macquarie University, Sydney, Australia. Helia holds a Ph.D. in Computer Systems and Artificial Intelligence (AI) from the University of Technology Sydney (UTS), Sydney, Australia. She also holds a master's degree in Artificial Intelligence and a bachelor's degree in Computer Engineering with First Class Honours. Helia has extensive experience in Image and Video Processing, and her Ph.D. research focused on 3D reconstruction using light field technology. Helia's research interests include AI, Machine Learning, and Image Processing.

Produktdetails