Citizen Privacy Framework: Case of a Fuzzy-based Recommender System for Political Participation: Fuzzy Management Methods
Autor Aigul Kaskinaen Limba Engleză Paperback – 17 sep 2023
The book will be of interest to researchers and practitioners in the areas of usage modeling, privacy, system design, and for service providers in eDemocracy.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 598.88 lei 6-8 săpt. | |
Springer International Publishing – 17 sep 2023 | 598.88 lei 6-8 săpt. | |
Hardback (1) | 604.75 lei 6-8 săpt. | |
Springer International Publishing – 16 sep 2022 | 604.75 lei 6-8 săpt. |
Preț: 598.88 lei
Preț vechi: 704.56 lei
-15% Nou
Puncte Express: 898
Preț estimativ în valută:
114.65€ • 124.97$ • 96.40£
114.65€ • 124.97$ • 96.40£
Carte tipărită la comandă
Livrare economică 17-31 decembrie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783031060236
ISBN-10: 3031060237
Ilustrații: XVII, 110 p. 33 illus., 27 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.19 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Fuzzy Management Methods
Locul publicării:Cham, Switzerland
ISBN-10: 3031060237
Ilustrații: XVII, 110 p. 33 illus., 27 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.19 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Fuzzy Management Methods
Locul publicării:Cham, Switzerland
Cuprins
Chapter 1. Introduction.- Chapter 2. Insights into Privacy Research.- Chapter 3. Citizen Privacy Profile Framework.- Chapter 4. Fuzzy-based Privacy Settings Recommender System.- Chapter 5. Conclusions.
Notă biografică
Aigul Kaskina acquired the degree of Doctor of Philosophy in Computer Science from University of Fribourg, Switzerland. Currently she is working as a Data & AI scientist at Accenture based in Zurich, Switzerland. Her main focus is on data analytics, big data, artificial intelligence and machine learning.
Textul de pe ultima copertă
This book presents the concept of a fuzzy-based recommender system for user account privacy settings that can be used for citizen participation on online political platforms. The elaborated components are exemplarily based on the needs of a political platform implemented during the presidential election in Ecuador. The book readdresses the issue of privacy paradox demonstrating that, indeed, users’ actual decisions of being private in most cases diverge with their initial privacy intentions. The two concepts presented in the book - the citizen privacy profile framework and the prototype fuzzy-based privacy settings recommender system - can be adapted by different organizations such as government institutions, NGOs, or private online service providers to meet their specific needs.
The book will be of interest to researchers and practitioners in the areas of usage modeling, privacy, system design, and for service providers in eDemocracy.
The book will be of interest to researchers and practitioners in the areas of usage modeling, privacy, system design, and for service providers in eDemocracy.
Caracteristici
Introduces a privacy framework for citizens' participation on political platforms Proposes advanced methods of user privacy settings cofiguration Includes an in-depth literature review on privacy decision-making processes