menu
{ "item_title" : "Machine Learning and Data Mining for Sports Analytics", "item_author" : [" Ulf Brefeld", "Jesse Davis", "Jan Van Haaren "], "item_description" : "This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018.The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/017/273/3030172732_b.jpg", "price_data" : { "retail_price" : "64.99", "online_price" : "64.99", "our_price" : "64.99", "club_price" : "64.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning and Data Mining for Sports Analytics|Ulf Brefeld

Machine Learning and Data Mining for Sports Analytics : 5th International Workshop, Mlsa 2018, Co-Located with Ecml/Pkdd 2018, Dublin, Ireland, Septemb

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018.
The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.

This item is Non-Returnable

Details

  • ISBN-13: 9783030172732
  • ISBN-10: 3030172732
  • Publisher: Springer
  • Publish Date: April 2019
  • Dimensions: 9.21 x 6.14 x 0.41 inches
  • Shipping Weight: 0.61 pounds
  • Page Count: 179

Related Categories

You May Also Like...

    1

BAM Customer Reviews