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Pattern Recognition in Online Environment by Data Mining Approach

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Book cover Agents and Data Mining Interaction (ADMI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5980))

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Abstract

Nowadays, applying artificial intelligence to all aspects of human life is one of the most challenging efforts, including Robocup competitions. In this paper we will describe our research in case of using Expert System as a decision-making system. We made our attempt to expose a base strategy from past log files and implement an online learning system which receives information from the environment. Regarding to its world reputation, this article tries to investigate some parts of soccer coach rules and use up-to-date methods according to data mining and neural networks concepts. We study the type and time of occurring patterns in coach with our experience and ideas clearly. Also using suitable algorithms both in online and offline parts, we can improve the team precision and lead our team by analyzing opponent team.

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EffatParvar, M., EffatParvar, M., Rahgozar, M. (2010). Pattern Recognition in Online Environment by Data Mining Approach. In: Cao, L., Bazzan, A.L.C., Gorodetsky, V., Mitkas, P.A., Weiss, G., Yu, P.S. (eds) Agents and Data Mining Interaction. ADMI 2010. Lecture Notes in Computer Science(), vol 5980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15420-1_12

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  • DOI: https://doi.org/10.1007/978-3-642-15420-1_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15419-5

  • Online ISBN: 978-3-642-15420-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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