期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：7
页码：13319-13323
出版社：IJECS
摘要：Poker is one of the world’s most popular and widely played card games. In Poker, there is a fixed set of winning conditionsand the player with the highest winning condition wins the game. The main part of the game is to bet strategically and in a calculatedmanner so that there is less chance of risk and the opponents are not able to guess the cards in the hand. To help players understand whenand how to bet smartly, this application will be developed. This system provides knowledge to the users about their probability of winningbased on the cards available to them. The system which has been developed is lightweight and easy-to-use so that all types of players can useit. The aim of this system is to help gamblers bet better thereby increasing their winnings, addiction to Poker gambling and also generategreater revenue collections for gaming consortiums.. The most important point of this paper is to show how we have used data mining andstatistical probabilities to formulate an algorithm which gives out correct predictions of the winning hand. We formally define the systemand outline the challenges that arose while developing technology to support it. We hope that this paper will encourage more research by thegaming consortiums and the gambling community in this exciting area of winning by probability calculations and card counting
