C#音乐信息的数据挖掘研究音乐推荐系统的开发
本文分析了系统开发的背景和国内外音乐播放系统的发展现状，并对顾客需求作了比较详细的分析，详细阐述了设计音乐播放系统需要实现的功能，设计思路和实现手段。
本文通过系统概述、系统分析、系统设计、系统实施、开发总结，详细的说明了系统的开发过程，最后并对整个开发过程进行了总结。根据系统所需功能，以C#为开发平台，采用数据挖掘技术，结合SQL Server，根据用户的喜好来实现音乐的智能推荐。
本文设计的系统能够基本满足音乐推荐的要求，而且功能上除了推荐歌曲外，也可以播放歌曲，同时还能进行会员管理和歌曲管理。真正意义上实现了一个音乐播放所基本具备的功能，完成了论文课题所要求的内容。20139
毕业论文关键词： 音乐；智能推荐；C#；系统
Data mining research of the music information – the development of music recommendation system
Abstract: With the rapid development of digital information technology, it has a huge impact on the on the music industry。The internet technology has promoted the development of the music industry, a variety of new musical style appear one after another, users preferences also vary from people to people.The project is the Data mining research of the music information – the development of music recommendation system.This subject is about content-based music information retrieval method research. According to the music genre, artist name, ect. we can look for a song to make Intelligent recommendation. That is to say this topic is equivalent to the implementation of a data mining music intelligent recommendation of music playback system. For this issue is concerned , its essence is to make a back-end database and a home front ,and then link the two processes.
This paper analyzes the background of current system development and the domestic music system,and makes a detailed analysis of customer needs,and expounds the function the design ideas and the implementation tools need to be realized of the music system .
Keywords: Music; Data mining search;System
目录
摘要…..1
1绪论 6
1.1课题研究目的 6
1.2 课题研究意义 7
1.3国内外现状 8
1.4开发工具的介绍 10
1.5系统开发环境 12
2数据挖掘的关联规则 12
2.1数据挖掘 13
2.2数据挖掘中的关联规则 15
2.2.1购物篮分析 16
2.2.2基本概念 17
2.2.3关联规则挖掘 18
3分析 19
3.1需求分析 19
3.2功能分析 20
3.2.1 系统前台功能概述 20
3.2.2 系统后台功能概述 20
3.3算法分析 21
3.4 可行性研究 23
3.4.1 经济可行性 23
3.4.2 技术可行性 24
3.4.3 法律可行性 24