- author = "Kristina Machova and Marian Mach",
- booktitle = "2018 World Symposium on Digital Intelligence for Systems and Machines (DISA)",
- title = "Genetic Programming in the Authority of a Web Discussion Identification",
- year = "2018",
- pages = "245--250",
- abstract = "The paper focuses on web data mining to solve a problem of estimation of the authoritativeness measure of social web users, particularly contributors to a discourse content of social web discussions. Two methods from machine learning domain were used - regression analysis and genetic programming. Our aim was to find an approximation of the dependency of the authoritativeness value on variables representing parameters of the structure of discourse content. The approximation function can be used for computation of the authoritativeness value of a given user as well as for discrimination of authoritative from non-authoritative contributors to web discussions. This information is important for web users, who search for truthful and reliable information in the process of decision making about important things since the web users would like to be influenced by some credible professionals.",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/DISA.2018.8490640",
- month = aug,
-
notes = "Department of Cybernetics and Artificial Intelligence,
Technical University, Letna 9,042 00, Kosice,
Slovakia
Also known as \cite{8490640}",
