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Modeling Tennis Matches Using Monte Carlo Simulations Incorporating Dynamic Parameters.

, , , , , , and . MIPRO, page 1281-1286. IEEE, (2023)

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The impact of training data tailoring on demand forecasting models in retail., , , , , , and . MIPRO, page 1473-1478. IEEE, (2014)Automated extraction and visualization of learning concept dependencies using Q-matrices and exam results., , and . SoftCOM, page 1-5. IEEE, (2016)Modeling Tennis Matches Using Monte Carlo Simulations Incorporating Dynamic Parameters., , , , , , and . MIPRO, page 1281-1286. IEEE, (2023)Integrating Quantitative Attributes in Hierarchical Clustering of Transactional Data., , and . KES-AMSTA, volume 7327 of Lecture Notes in Computer Science, page 94-103. Springer, (2012)SNA-based artificial call detail records generator., , , , and . MIPRO, page 1226-1230. IEEE, (2018)Outlier detection as the primary step for promotion planning in retail., , , and . MIPRO, page 1405-1410. IEEE, (2015)University social network benefits analysis and proposed framework., , , , , , , , , and . SoftCOM, page 1-5. IEEE, (2016)A Combinatorial Approach in Predicting the Outcome of Tennis Matches., , and . Int. J. Appl. Math. Comput. Sci., 31 (3): 525-538 (2021)Applying the binary classification methods for discovering the best friends on an online social network., , , , , and . ConTEL, page 155-162. IEEE, (2017)Metadata-Driven SOA-Based Application for Facilitation of Real-Time Data Warehousing., , and . EC-Web, volume 5692 of Lecture Notes in Computer Science, page 108-119. Springer, (2009)