Open AccessRegression Tree Role for Interpret Monetizing of Game Live Streaming
Author(s) -
Erlin Windia Ambarsari,
Reza Avrizal,
Erlando Doni Sirait,
Saruni Dwiasnati,
Robbi Rahim
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1424/1/012014
Subject(s) - computer science , decision tree , tree (set theory) , construct (python library) , statistic , numeral system , regression , streaming algorithm , statistics , artificial intelligence , mathematics , computer network , mathematical analysis , upper and lower bounds
Game Live Streaming is streamers activity who play games with a purpose to monetizing. The running game recorded into a streaming statistic. Therefore, streamers can monitor it. The company of Game Live Streaming evaluated whether they are eligible for compensation to make it easier to interpret monetizing, a decision tree is needed. However, the dataset obtained from statistical streaming is numeral; the calculation uses Standard Deviation Reduction for construct Regression Tree which the concept is similar to ID3 Algorithm. The Regression stop constructs Tree when the CV is zero, or the number of instances is the least. Also, the mean reached dataset homogeneously.