Poker Learner: Players Modeling Through Data-Mining

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2015

Autores

Silva, N (Autor) Outra; reis, lp (Autor) REIT

Ata de Conferência Internacional

Título: 2015 10TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)

10th Iberian Conference on Information Systems and Technologies (CISTI)

Univ Aveiro, Sch Technol & Agueda Management, Agueda, PORTUGAL, JUN 17-20, 2015

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00G-PVY

DOI: 10.1109/cisti.2015.7170624

Abstract (EN): In recent years the game of poker has created a high interest on researchers from the artificial intelligence area. Unlike board games, poker is an incomplete information game becoming a very complex game for a virtual agent. The main objective of this work is to create a data model enabling to apply data mining techniques to obtain a poker player model (pre-flop stage). To do that we used a database from a professional poker player where the data is stored in text files. The work used CRISP-DM, performing its stages. As ETL (Extract, Transform and Load) tool Talend was used and for running the data mining techniques Weka was used. As a final result, a player model was achieved with a very good ROC curve. This result, enable us to conclude that the approach is adequate for creating complete poker player models.

Idioma: Português

Tipo (Avaliação Docente): Científica

Nº de páginas: 6