Başlık:
Machine Learning and Data Mining for Sports Analytics 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
Yazar:
Brefeld, Ulf. editor.
ISBN:
9783031275272
Basım Bilgisi:
1st ed. 2023.
Fiziksel Tanımlama:
X, 127 p. 47 illus., 38 illus. in color. online resource.
Seri:
Communications in Computer and Information Science, 1783
İçerik:
Football -- Towards expected counter - Using comprehensible features to predict counterattacks -- Shot analysis in different levels of German football using Expected Goals -- Analyzing passing sequences for the prediction of goal-scoring opportunities -- Let's penetrate the defense: A machine learning model for prediction and valuation of penetrative passes -- Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction -- Cost-efficient and bias-robust sports player tracking by integrating GPS and video -- Racket sports -- Predicting tennis serve directions with machine learning -- Discovering and visualizing tactics in table tennis games based on subgroup discovery -- Cycling -- Athlete monitoring in professional road cycling using similarity search on time series data.
Tüzel Kişi Ek Girişi:
Elektronik Erişim:
https://doi.org/10.1007/978-3-031-27527-2Kopya:
Rafta:*
Kütüphane | Materyal Türü | Demirbaş Numarası | Yer Numarası | Durumu/İade Tarihi | Materyal Ayırtma |
---|---|---|---|---|---|
Arıyor... | E-Kitap | 520664-1001 | XX(520664.1) | Arıyor... | Arıyor... |