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Data Analysis And Mining On The Behaviors Of The Online Game Players

Posted on:2011-07-20Degree:MasterType:Thesis
Country:ChinaCandidate:M ZhangFull Text:PDF
GTID:2178330332972000Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Online games are developing rapidly these years. Players'number doubled; functions provided in game strengthened; systems of games became more and more complicated. As the supplier for game products and service, we are hoping to improve that through a system which analyzing game player'behaviors.Due to there is no clear standard for current on-line game creating, as well as there are various kinds of games with different structures, and because of the security measures in all game manufacturers, we cannot buy a system that can allocate into the newly created game immediately and use it to analyze players'behavior.Based on this demand, the paper through analysis of online user data by Wanrong Information Technology Co., Ltd. and mining to explore the game BUG and degree of user interest, which the company's operations for the game to provide decision support. The main contribution and innovation in the following areas:1. The system proposes two methods of log data storage. One is to use database to memorize the low frequency data. The other is realizing frequented data storage by the combination of memory and text mode. The paper mainly focused on distributing memory architecture, compared to two distributed algorithms. Through the analysis of two algorithms and data testing, selected the best algorithm for system requirements.2. It designs a way to search game BUG. According to the data warehouse association related data collected by the inference in the knowledge base to find out whether there is implicit in the system BUG, and as much as possible to the specific function of position, as soon as possible for game developers to quickly fix the game BUG help.3. It proposes the method to calculate the interest towards on-line games, which base on the record of players'familiar level towards function using. Recommend the function of the game to players by the interest measure.Online user behavior through data analysis and mining and the corresponding system development, game development has been oriented sectors such as the company's efficiency and decision support in play a tremendous role in promoting the same time, the company has accumulated a lot of valuable experience.
Keywords/Search Tags:data mining, data storage, online games, hash algorithm
PDF Full Text Request
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