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Mining Ice Hockey: Continuous Data Flow Analysis

Authors:
Adam Hipp
Lawrence Mazlack

Keywords: data mining; continuous flow analysis; ice hockey

Abstract:
Ice hockey is relatively under computationally analyzed. Possibly this is because ice hockey is a continuous flow game with relatively few major events (goal scoring) while most of the other games that have been data mined can be described as being a series of clearly bounded events. This work describes needs of data mining ice hockey statistics to quantify the contribution of individual hockey players to team success. Large databases of ice hockey statistics for the collegiate and professional levels can be accessed to per¬form this work. The goal is to use ice hockey statistics and computational methods to help make personnel decisions at both the coaching and franchise management levels. This type of work has the potential to encourage new avenues of sports statistics research, as well as statistical research and data mining, in general.

Pages: 31 to 36

Copyright: Copyright (c) IARIA, 2011

Publication date: October 23, 2011

Published in: conference

ISSN: 2326-9332

ISBN: 978-1-61208-162-5

Location: Barcelona, Spain

Dates: from October 23, 2011 to October 29, 2011