Heuristic design of fuzzy inference systems: A review of three decades of research
This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …
Optimal countermeasures selection against cyber attacks: A comprehensive survey on reaction frameworks
P Nespoli, D Papamartzivanos… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
It is without doubt that today the volume and sophistication of cyber attacks keeps
consistently growing, militating an endless arm race between attackers and defenders. In …
consistently growing, militating an endless arm race between attackers and defenders. In …
[書籍][B] Ontology matching
J Euzenat, P Shvaiko - 2007 - Springer
An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …
specification of the meaning of terms in that vocabulary. Depending on the precision of this …
A survey of approaches to automatic schema matching
Schema matching is a basic problem in many database application domains, such as data
integration, E-business, data warehousing, and semantic query processing. In current …
integration, E-business, data warehousing, and semantic query processing. In current …
Offline data-driven evolutionary optimization using selective surrogate ensembles
In solving many real-world optimization problems, neither mathematical functions nor
numerical simulations are available for evaluating the quality of candidate solutions. Instead …
numerical simulations are available for evaluating the quality of candidate solutions. Instead …
A survey of schema-based matching approaches
P Shvaiko, J Euzenat - Journal on data semantics IV, 2005 - Springer
Schema and ontology matching is a critical problem in many application domains, such as
semantic web, schema/ontology integration, data warehouses, e-commerce, etc. Many …
semantic web, schema/ontology integration, data warehouses, e-commerce, etc. Many …
Data-driven surrogate-assisted multiobjective evolutionary optimization of a trauma system
Most existing work on evolutionary optimization assumes that there are analytic functions for
evaluating the objectives and constraints. In the real world, however, the objective or …
evaluating the objectives and constraints. In the real world, however, the objective or …
The PROMPT suite: interactive tools for ontology merging and map**
Researchers in the ontology-design field have developed the content for ontologies in many
domain areas. This distributed nature of ontology development has led to a large number of …
domain areas. This distributed nature of ontology development has led to a large number of …
Rimom: A dynamic multistrategy ontology alignment framework
Ontology alignment identifies semantically matching entities in different ontologies. Various
ontology alignment strategies have been proposed; however, few systems have explored …
ontology alignment strategies have been proposed; however, few systems have explored …
Data-Centric Systems and Applications
Data warehouses are databases of a specific kind that periodically collect information about
the activities being performed by an organization. This information is then accumulated over …
the activities being performed by an organization. This information is then accumulated over …