ISBN:
1402069138
Language:
English
Pages:
Online Ressource (1994 KB, 404 S.)
Edition:
1. Aufl.
Edition:
Online-Ausg. 2009 Electronic reproduction; Available via World Wide Web
Parallel Title:
Print version Profiling the European Citizen
DDC:
303.48/33094
Keywords:
Information technology Political aspects
;
Information technology Social aspects
;
Information literacy
;
Information society
;
Europe Classification Population
;
Statistics
Abstract:
In the eyes of many, one of the most challenging problems of the information society is that we are faced with an ever expanding mass of information. Based on the work done within the European Network of Excellence (NoE) on the Future of Identity in Information Society (FIDIS), a set of authors from different disciplinary backgrounds and jurisdictions share their understanding of profiling as a technology that may be preconditional for the future of our information society.
Abstract:
In the eyes of many, one of the most challenging problems of the information society is that we are faced with an ever expanding mass of information. Selection of the relevant bits of information seems to become more important than the retrieval of data as such: the information is all out there, but what it means and how we should act on it may be one of the big questions of the 21st century. If an information society is a society with an exponential proliferation of data, a knowledge society must be the one that has learned how to cope with this. Profiling technologies seem to be one of the most promising technological means to create order in the chaos of proliferating data. In this volume a multi-focal view will be developed to focus upon what profiling is, where it is applied and what may be the impact on democracy and rule of law. The book is the result of research conducted within the framework of the FIDIS (Future of Identity of Information Society) NoE (Network of Excellence).
Description / Table of Contents:
CONTENTS; Contributors; 1 General Introduction and Overview; 1.1 Introduction; 1.2 Part I: What is Profiling?; 1.3 Part II: Applications of Profiling; 1.4 Part III: Profiling Democracy and Rule of Law; Part I What is Profiling?; 2 Defining Profiling: A New Type of Knowledge?; 2.1 Introduction; 2.2 Identification of Profiling; 2.3 Group Profiling & Personalised Profiling; 2.4 Automated and Non-automated Profiling; 2.5 Conclusions: From Noise to Information, From Information toKnowledge; 2.6 Reply: Further Implications?; 2.7 Reply: Direct and Indirect Profiling in the Lightof Virtual Persons
Description / Table of Contents:
2.8 Bibliography3 General Description of the Process of Behavioural Profiling; 3.1 Introduction; 3.2 The Technical Process; 3.3 The Social Process; 3.4 Reply: Towards a Data Mining De Facto Standard; 3.5 Bibliography; 4 The Role of Algorithms in Profiling; 4.1 Algorithms as the Engine of Profiling; 4.2 Preparing the Input; 4.3 Representing the Output; 4.4 Deterministic Algorithms; 4.5 Probabilistic Algorithms; 4.6 Conclusions; 4.7 Reply: Neat Algorithms in Messy Environments; 4.8 Reply: Privacy Preserving Data Mining; 5 Behavioural Biometric Profiling and Ambient Intelligence
Description / Table of Contents:
5.1 Introduction5.2 Behavioural Biometrics State-of-the-art; 5.3 Current Limitations; 5.4 The Future of Behavioural Biometric Profiling Technologyand Applications; 5.5 Conclusions; 5.6 Reply: Old Metaphorical Wine - New Behavioural Bottles; 6 Personalisation and its Influence on Identities,Behaviour and Social Values; 6.1 Introduction; 6.2 Setting the Stage: Personalisation and Profiling; 6.3 The Dark Side of Personalisation and Profiling; 6.4 Concluding Remarks; 6.5 Reply: Online Personalisation. For the Bad or for the Good?; 6.6 Bibliography; Part II Applications of Profiling
Description / Table of Contents:
7 Biometric Profiling: Opportunities and Risks7.1 Introduction; 7.2 Opportunities; 7.3 Risks; 7.4 Conclusions; 7.5 Need for Legal Analysis of Biometric Profiling; 7.6 Bibliography; 8 Profiling and Location-Based Services (LBS); 8.1 Introduction: Location, Privacy and 'Mobile' Identity; 8.2 Contextual Profiling; 8.3 Countermeasures & Self-Protection; 8.4 Legal and Social Framework; 8.5 Conclusion; 8.6 Reply: Mind My Step?; 8.7 Bibliography; 9 Collecting Data for the Profiling of Web Users; 9.1 Anonymous Feeling of Web Surfers; 9.2 Specificities of the Web Architecture
Description / Table of Contents:
9.3 Legitimate Uses of Profiling9.4 Privacy Threats and Counter Measures; 9.5 Conclusion; 9.6 Reply: Web Usage Mining for Web Personalisationin Customer Relation Management; 9.7 Bibliography; 10 User Profiling for Attention Support at School and Work; 10.1 Introduction; 10.2 Attention in the Context of Learning and Work; 10.3 Supporting Attention in the Knowledge Economy; 10.4 Attention Support in the AtGentive Project; 10.5 Conclusion and Future Work; 10.6 Acknowledgement; 10.7 Reply: Profiling Individual and Group E-learning -Some Critical Remarks; 10.8 Bibliography
Description / Table of Contents:
11 Profiling of Customers and Consumers - CustomerLoyalty Programmes and Scoring Practices
Note:
Includes bibliographical references and index
,
Electronic reproduction; Available via World Wide Web
