Unsaturated-Fat
发表于 2025-3-26 21:01:54
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使迷醉
发表于 2025-3-27 04:10:49
Knowledge Discovery in SportThe chapter deals with knowledge discovery from data in sport. In the narrower sense, knowledge discovery from data refers to a data mining that also incorporates methods from other domains, like statistics, pattern recognition, machine learning, visualization, association rule mining and computational intelligence algorithms.
原始
发表于 2025-3-27 06:46:34
Iztok Fister,Iztok Fister Jr.,Dušan FisterPresents recent research on computational intelligence (CI) algorithms in the field of sport.Focuses on individual sports, but also discusses team sports.Highlights CI algorithms used in different pha
生锈
发表于 2025-3-27 10:54:09
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免除责任
发表于 2025-3-27 17:24:02
Adaptation of Training Planstion would be proceeded smoothly. However, realization of the proposed training plan can be disrupted when an athlete in training process ill or is injured. These unpredictable events can interrupt the training process for a day or two, or even for several weeks. In this case, the training plan becomes unusable and must be adapted.
使高兴
发表于 2025-3-27 18:30:17
https://doi.org/10.1007/978-3-030-03490-0Computational Intelligence; Adaptation; Sports; Sport Training; Data Mining
Palatial
发表于 2025-3-27 22:56:07
Springer Nature Switzerland AG 2019
Armada
发表于 2025-3-28 05:13:20
BatMiner for Identifying the Characteristics of Athletes in Trainingng sessions are recorded in a transaction database as attributes specifying the features. In order to discover the relations among the features in the transaction databases, algorithms for association rule mining are proposed based on computational intelligence. In the future, these rules could enab
Cognizance
发表于 2025-3-28 07:18:23
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首创精神
发表于 2025-3-28 13:27:11
1867-4534 omputer scientists.. .Lastly, the book proposes the use of an Artificial Sports Trainer designed to enhance the training of modern athletes who cannot afford the considerable expense of hiring a human personal 978-3-030-03490-0Series ISSN 1867-4534 Series E-ISSN 1867-4542