Sports analytics — Evaluation of basketball players and team performance
- 23 May 2020
- journal article
- research article
- Published by Elsevier BV in Information Systems
- Vol. 93, 101562
- https://doi.org/10.1016/j.is.2020.101562
Abstract
No abstract availableKeywords
This publication has 29 references indexed in Scilit:
- T3C: improving a decision tree classification algorithm’s interval splits on continuous attributesAdvances in Data Analysis and Classification, 2016
- Embracing ImperfectionJournal of Corporate Accounting & Finance, 2016
- A Multiresolution Stochastic Process Model for Predicting Basketball Possession OutcomesJournal of the American Statistical Association, 2016
- Mining Urban Data (Part B)Information Systems, 2016
- Modeling and forecasting the outcomes of NBA basketball gamesJournal of Quantitative Analysis in Sports, 2016
- Coachable Business ResultsJournal of Corporate Accounting & Finance, 2015
- Effect of Global Regulators RpoS and Cyclic-AMP/CRP on the Catabolome and Transcriptome of Escherichia coli K12 during Carbon- and Energy-Limited GrowthPLOS ONE, 2015
- Characterizing the spatial structure of defensive skill in professional basketballThe Annals of Applied Statistics, 2015
- Forecasting in the NBA and other team sportsACM Transactions on Knowledge Discovery From Data, 2012
- k-ATTRACTORS: A PARTITIONAL CLUSTERING ALGORITHM FOR NUMERIC DATA ANALYSISApplied Artificial Intelligence, 2011