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Machine learning and data mining for sports analytics : 9th International Workshop, MLSA 2021, September 19, 2022 / / Ulf Brefeld [and three others] editors
| Machine learning and data mining for sports analytics : 9th International Workshop, MLSA 2021, September 19, 2022 / / Ulf Brefeld [and three others] editors |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (x, 127 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Data mining
Machine learning |
| ISBN | 3-031-27527-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910674349303321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning and data mining for sports analytics : 9th International Workshop, MLSA 2021, September 19, 2022 / / Ulf Brefeld [and three others] editors
| Machine learning and data mining for sports analytics : 9th International Workshop, MLSA 2021, September 19, 2022 / / Ulf Brefeld [and three others] editors |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (x, 127 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Data mining
Machine learning |
| ISBN | 3-031-27527-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996547950303316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine learning and data mining for sports analytics : 8th International Workshop, MLSA 2021, Virtual event, September 13, 2021, revised selected papers / / Ulf Brefeld [and three others], editors
| Machine learning and data mining for sports analytics : 8th International Workshop, MLSA 2021, Virtual event, September 13, 2021, revised selected papers / / Ulf Brefeld [and three others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] |
| Descrizione fisica | 1 online resource (211 pages) |
| Disciplina | 006.312 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Data mining
Machine learning |
| ISBN | 3-031-02044-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910568266003321 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning and data mining for sports analytics : 8th International Workshop, MLSA 2021, Virtual event, September 13, 2021, revised selected papers / / Ulf Brefeld [and three others], editors
| Machine learning and data mining for sports analytics : 8th International Workshop, MLSA 2021, Virtual event, September 13, 2021, revised selected papers / / Ulf Brefeld [and three others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] |
| Descrizione fisica | 1 online resource (211 pages) |
| Disciplina | 006.312 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Data mining
Machine learning |
| ISBN | 3-031-02044-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996475763903316 |
| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine learning and data mining for sports analytics : 7th International Workshop, MLSA 2020, co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, proceedings / / Ulf Brefeld [and three others editors]
| Machine learning and data mining for sports analytics : 7th International Workshop, MLSA 2020, co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, proceedings / / Ulf Brefeld [and three others editors] |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (X, 141 p. 6 illus.) |
| Disciplina | 006.31 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Machine learning
Data mining Sports - Data processing |
| ISBN | 3-030-64912-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Routine Inspection: A playbook for corner kicks -- How data availability aects the ability to learngood xG models -- Low-cost optical tracking of soccer players -- An Autoencoder Based Approach to SimulateSports Games -- Physical performance optimization in football -- Predicting Player Trajectoriesin Shot Situations in Soccer -- Stats Aren't Everything: Learning Strengths andWeaknesses of Cricket Players -- Prediction of tiers in the rankingof ice hockey players -- A Machine Learning Approach for Road CyclingRace Performance Prediction -- Mining Marathon Training Data to GenerateUseful User Proles -- Learning from partially labeled sequences forbehavioral signal annotation. |
| Record Nr. | UNINA-9910447243503321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning and data mining for sports analytics : 7th International Workshop, MLSA 2020, co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, proceedings / / Ulf Brefeld [and three others editors]
| Machine learning and data mining for sports analytics : 7th International Workshop, MLSA 2020, co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, proceedings / / Ulf Brefeld [and three others editors] |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (X, 141 p. 6 illus.) |
| Disciplina | 006.31 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Machine learning
Data mining Sports - Data processing |
| ISBN | 3-030-64912-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Routine Inspection: A playbook for corner kicks -- How data availability aects the ability to learngood xG models -- Low-cost optical tracking of soccer players -- An Autoencoder Based Approach to SimulateSports Games -- Physical performance optimization in football -- Predicting Player Trajectoriesin Shot Situations in Soccer -- Stats Aren't Everything: Learning Strengths andWeaknesses of Cricket Players -- Prediction of tiers in the rankingof ice hockey players -- A Machine Learning Approach for Road CyclingRace Performance Prediction -- Mining Marathon Training Data to GenerateUseful User Proles -- Learning from partially labeled sequences forbehavioral signal annotation. |
| Record Nr. | UNISA-996465449503316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Data Mining for Sports Analytics [[electronic resource] ] : 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
| Machine Learning and Data Mining for Sports Analytics [[electronic resource] ] : 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (X, 179 p. 57 illus., 41 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Mathematical statistics Pattern recognition Artificial Intelligence Data Mining and Knowledge Discovery Probability and Statistics in Computer Science Pattern Recognition |
| ISBN | 3-030-17274-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466286703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Data Mining for Sports Analytics : 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
| Machine Learning and Data Mining for Sports Analytics : 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings / / edited by Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (X, 179 p. 57 illus., 41 illus. in color.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Mathematical statistics Pattern recognition Artificial Intelligence Data Mining and Knowledge Discovery Probability and Statistics in Computer Science Pattern Recognition |
| ISBN | 3-030-17274-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910337855103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III / / edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet
| Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III / / edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (819 pages) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computers Computer organization Artificial Intelligence Computer Applications Information Systems and Communication Service Computing Milieux Computer Systems Organization and Communication Networks |
| ISBN | 3-030-46133-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Reinforcement Learning and Bandits -- Ranking -- Applied Data Science: Computer Vision and Explanation -- Applied Data Science: Healthcare -- Applied Data Science: E-commerce, Finance, and Advertising -- Applied Data Science: Rich Data -- Applied Data Science: Applications -- Demo Track. |
| Record Nr. | UNISA-996418286803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II / / edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet
| Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II / / edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (748 pages) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computers Computer organization Artificial Intelligence Computer Applications Computing Milieux Information Systems and Communication Service Computer Systems Organization and Communication Networks |
| ISBN | 3-030-46147-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Supervised Learning -- Multi-Label Learning -- Large-Scale Learning -- Deep Learning -- Probabilistic Models -- Natural Language Processing. |
| Record Nr. | UNISA-996418303603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
