Detection and Selection of Behavioral Patterns Using Theme: A Concrete Example in Grassroots Soccer

• 主要な著者: Mario Amatria (著者), Daniel Lapresa (著者), Javier Arana (著者), M. Teresa Anguera (著者), Gudberg K. Jonsson (著者)
• フォーマット: 図書
• 出版事項: MDPI AG, 2017-03-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Observational methodology provides a rigorous yet flexible framework for capturing behaviors over time to allow for the performance of subsequent diachronic analyses of the data captured. Theme is a specialized software program that detects hidden temporal behavioral patterns (T-patterns) within dat...