It is not uncommon in the data anonymization literature to oppose the “old” k k-anonymity
model to the “new” differential privacy model, which offers more robust privacy guarantees …

Purpose Industry 4.0 is characterised by systemic transformations occurring exponentially,
encompassing an array of dynamic processes and technologies. To move towards a more …

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distributing in print or electronic forms without written permission of IGI Global is prohibited …

Measuring semantic relatedness is a critical task in many domains such as psychology,
biology, linguistics, cognitive science and artificial intelligence. In this paper, we propose a …

Structured patient data like Electronic Health Records (EHRs) are a valuable source for
clinical research. However, the sensitive nature of such information requires some …

Being able to release and exploit open data gathered in information systems is crucial for
researchers, enterprises and the overall society. Yet, these data must be anonymized before …

Ontology evaluation is a relevant issue in the field of knowledge representation. It aims at
quantifying the quality of ontologies, so that potential users can have an idea of their …

When no prior knowledge is available, clustering is a useful technique for categorizing data
into meaningful groups or clusters. In this paper, a modified fuzzy min–max (MFMM) …

Unsupervised automatic topic discovery in micro-blogging social networks is a very
challenging task, as it involves the analysis of very short, noisy, ungrammatical and …

Semantic similarity has become, in recent years, the backbone of numerous knowledge-
based applications dealing with textual data. From the different methods and paradigms …