A Public-Private-Partnership Model for National Cyber Situational Awareness
| Autor: | Timea Pahi, Florian Skopik |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Situation awareness
Computer science 020209 energy 02 engineering and technology Data science Metalearning Field (computer science) Variety (cybernetics) Public–private partnership Conceptual framework Component (UML) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Architecture |
| Zdroj: | International Journal on Cyber Situational Awareness. 1:31-53 |
| ISSN: | 2633-495X 2057-2182 |
| DOI: | 10.22619/ijcsa.2016.100102 |
| Popis: | Current data mining tools are characterized by a plethora of algorithms but a lack of guidelines to select the right method according to the nature of the problem under analysis. Producing such guidelines is a primary goal by the field of meta-learning; the research objective is to understand the interaction between the mechanism of learning and the concrete contexts in which that mechanism is applicable. The field of meta-learning has seen continuous growth in the past years with interesting new developments in the construction of practical model-selection assistants, task-adaptive learners, and a solid conceptual framework. In this paper, we give an overview of different techniques necessary to build meta-learning systems. We begin by describing an idealized meta-learning architecture comprising a variety of relevant component techniques. We then look at how each technique has been studied and implemented by previous research. In addition, we show how metalearning has already been identified as an important component in real-world applications. |
| Databáze: | OpenAIRE |
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