Intellectual property in colombian museums: an application of machine learning
Pre-Publicación
2019
Universidad de la Costa
The purpose of this research is to answer the following guiding question: how can the behavior of museum networks in Colombia be predicted with respect to the protection of intellectual property (copyright, confidential information and use of patents, domain names, industrial designs, use of trademarks) and the interaction of different types of proximity (geographical, organizational, relational, cognitive, cultural and institutional), based on the use of supervised learning algorithms? Among the main findings are that the best learning algorithms to predict the behavior of networks, considering different target variables are the AdaBoost, the naive Bayes and CN2 rule inducer
- Artículos científicos [3120]
Descripción:
INTELLECTUAL PROPERTY IN COLOMBIAN MUSEUMS AN APPLICATION OF MACHINE LEARNING.pdf
Título: INTELLECTUAL PROPERTY IN COLOMBIAN MUSEUMS AN APPLICATION OF MACHINE LEARNING.pdf
Tamaño: 6.165Kb
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Título: INTELLECTUAL PROPERTY IN COLOMBIAN MUSEUMS AN APPLICATION OF MACHINE LEARNING.pdf
Tamaño: 6.165Kb
PDFLEER EN FLIP
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