@inproceedings{818b418eacd5469dbdfb0737a92aa3dc,
title = "{"}As time goes by{"} - Using time series based decision tree induction to analyze the behaviour of opponent players",
abstract = "With the more sophisticated abilities of teams within the simulation league, high level online functions become more and more attractive. Last year we proposed an approach to recognize the opponents strategy and developed the online coach accordingly. The coach was able to detect their strategy and then passed this information together with appropriate countermeasures to his team. However, this approach gives only information about the entire team and is not able to detect significant situations (e.g. double pass, standard situations). In this paper we describe a new decision tree induction for continous valued time series, used to analyze the behaviour of opponent players.",
author = "Christian Dr{\"u}cker and Sebastian H{\"u}bner and Ubbo Visser and Weland, {Hans Georg}",
year = "2002",
doi = "10.1007/3-540-45603-1_38",
language = "English (US)",
isbn = "3540439129",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "325--330",
booktitle = "RoboCup 2001",
note = "5th Robot World Cup Soccer Games and Conferences, RoboCup 2001 ; Conference date: 02-08-2001 Through 10-08-2001",
}