T. Popeea, A. Constantinescu, F. Radulescu, R. Rughinis
{"title":"有监督学习算法在纸牌游戏中的适用性分析","authors":"T. Popeea, A. Constantinescu, F. Radulescu, R. Rughinis","doi":"10.1109/ICTKE.2012.6152406","DOIUrl":null,"url":null,"abstract":"Data mining is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management. One of the classes of data mining is classification, where the goal is to generalize a known structure to apply to new data. Supervised learning, a branch of the classification algorithms uses a set of training data to produce an inferred function, called a classifier, which is then used to predict the correct output value for any valid input object. This approach allows supervised learning algorithms to be applied with notable success on games, by predicting the outcome of future matches based on the stored results of previously played matches. We will present the outcome of applying two supervised learning algorithms on a very popular card game, called “Dominion”.","PeriodicalId":235347,"journal":{"name":"2011 Ninth International Conference on ICT and Knowledge Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An analysis on the applicability of supervised learning algorithms on card games\",\"authors\":\"T. Popeea, A. Constantinescu, F. Radulescu, R. Rughinis\",\"doi\":\"10.1109/ICTKE.2012.6152406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data mining is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management. One of the classes of data mining is classification, where the goal is to generalize a known structure to apply to new data. Supervised learning, a branch of the classification algorithms uses a set of training data to produce an inferred function, called a classifier, which is then used to predict the correct output value for any valid input object. This approach allows supervised learning algorithms to be applied with notable success on games, by predicting the outcome of future matches based on the stored results of previously played matches. We will present the outcome of applying two supervised learning algorithms on a very popular card game, called “Dominion”.\",\"PeriodicalId\":235347,\"journal\":{\"name\":\"2011 Ninth International Conference on ICT and Knowledge Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Ninth International Conference on ICT and Knowledge Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTKE.2012.6152406\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Ninth International Conference on ICT and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTKE.2012.6152406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An analysis on the applicability of supervised learning algorithms on card games
Data mining is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management. One of the classes of data mining is classification, where the goal is to generalize a known structure to apply to new data. Supervised learning, a branch of the classification algorithms uses a set of training data to produce an inferred function, called a classifier, which is then used to predict the correct output value for any valid input object. This approach allows supervised learning algorithms to be applied with notable success on games, by predicting the outcome of future matches based on the stored results of previously played matches. We will present the outcome of applying two supervised learning algorithms on a very popular card game, called “Dominion”.