This book provides an overview of the research work on data privacy and privacy enhancing technologies carried by the participants of the ARES project.

Bringing together contributions by leading researchers in the field, it concretely addresses clustering, multisets, rough sets and fuzzy sets, as well as their applications in areas such as decision-making.The book is divided in four parts, the first of which focuses on clustering and classification.

This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities.
Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures...

This book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition.

This book constitutes the proceedings of the 14th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2017, held in Kitakyushu, Japan, in October 2017.

The 18 revised full papers presented together with one invited paper and three abstracts of invited talks were carefully reviewed and selected from 30 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers are organized in topical sections on aggregation operators, fuzzy measures and integrals;...

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science.