数据挖掘概念流程
1. 入门
2. 数据分析流程
3. 数据分析能力层次
4. 数据挖掘概念流程
5. 分类
6. 聚类
7. 预测
8. 关联
9 数据挖掘工具
10. 大数据挖掘
你好，感谢你的关注，开源力量公开课又开始讲课了，让我们一起向大牛学习吧。
下周二晚8：00-10：00，开源力量公开课第47期：数据挖掘入门指引（免费）
报名地址：http://www.osforce.cn/openclass/64/show?id=thinkphp（报名后显示直播地址）
课程背景：
大数据的核心是价值，如何挖掘数据价值，应用是引导，挖掘是关键。数据挖掘是交叉学科，统计学和机器学习是其中最重要的基础。大数据处理不是数据分析，数据分析是什么，数据分析和数据挖掘的区别，数据挖掘的流程、重要环节和主要算法，大数据挖掘和传统数据挖掘的区别，课程会给出一个清晰的认识。
授课形式：线上公开课（免费）
开始时间： 2014-03-18 20:00
结束时间： 2014-03-18 22:00
课程大纲：
1. 入门
2. 数据分析流程
3. 数据分析能力层次
4. 数据挖掘概念流程
5. 分类
6. 聚类
7. 预测
8. 关联
9 数据挖掘工具
10. 大数据挖掘
讲师介绍：
曾立平，有8年数据挖掘工作经验，擅长数据分析/挖掘，亚联数据挖掘专家。他曾主持和指导多个省份电信数据挖掘项目的开发，在数据挖掘实战方面有很丰富的经验。
更多公开课：http://www.osforce.cn/?qqun
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