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Using Personal Data to Advance Preventive Healthcare Services
Services are becoming increasingly digitally enabled and data-driven. Big data, and especially a subset of big data called personal data, is expected...
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Visions for the Financial Supply Chain
Our capacity for real, meaningful change is limited in part by our imagination and in part by the true desire to change. Although it is easy to point... -
The Price of Privacy
The analysis of clickstream data facilitates the understanding and prediction of customer behavior in e-commerce. Companies can leverage such data to...
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Ground Transportation Big Data Analytics and Third Party Validation: Solutions for a New Era of Regulation and Private Sector Innovation
One of the first systematic collections of ground transportation big data was instituted by the New York City Taxi & Limousine Commission (“TLC”) in... -
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Ideengenerierung durch Accelerator und Entwicklerportale
Auf Mobilitätsplattformen sollen innovative Mobilitätsdienste entstehen. Diese werden nicht nur vom Plattformbetreiber selbst, sondern auch von... -
Perspectives on Luxury: An Integrative Model
What is luxury? This question is a fundamental question for research and yet the only agreement reached is that its answer remains unclear (cf.... -
Big Data and Privacy Fundamentals: Toward a “Digital Skin”
While witnessing the advent of the big data era, the unstoppable propagation of the European Union’s General Data Protection Rule (GDPR) and the... -
Prioritizing and Ranking the Big Data Information Security Risk Spectrum
Big data research brings in a lot of research interest and excitement from both industry and academia. While several research works have addressed...
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Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling
Innovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and...
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An unsupervised approach for traffic trace sanitization based on the entropy spaces
The accuracy and reliability of an anomaly-based network intrusion detection system are dependent on the quality of data used to build a normal...
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Following value chains
Scholars working in the field of marketization studies have never settled on a singular methodology. Neither have they set disciplinary boundaries or... -
An algorithm for collusion-resistant anonymization and fingerprinting of sensitive microdata
The collection, processing, and selling of personal data is an integral part of today’s electronic markets, either as means for operating business,...
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Introduction
ABC4Trust advances trustworthy yet privacy-protecting ways of identity management. Therefore this chapter starts with an introduction to identity... -
Semantic integration of enterprise information systems using meta-metadata ontology
This paper proposes a non-domain-specific metadata ontology as a core component in a semantic model-based document management system (DMS), a...
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Security and privacy in business networking
Business networking relies on application-specific quantity and quality of information in order to support social infrastructures in, e.g., energy...
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Course Evaluation in Higher Education: the Patras Pilot of ABC4Trust
In this chapter we describe one of the pilots of the ABC4Trust project that we developed in order to offer privacy-preserving course evaluations at... -
An Architecture for Privacy-ABCs
One of the main objectives of the ABC4Trust project was to define a common, unified architecture for Privacy-ABC systems to allow comparing their...