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index.html
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---
layout: default
---
<div>
<h5>本站点用于北京理工大学数据挖掘研究生课程-this site exists for handling course materials and submitting assignments of Data Mining course(for graduate students) in BIT。</h5>
<br/>
<br/>
<p>我们已经在相应<a href="https://github.com/BITDM/bitdm.github.io">git仓库</a>的2016目录里建立了projects文件夹并根据组号建立对应子文件夹,由于单人手工处理工作量过大,请各位fork项目并根据自己组号编辑相应模板发送pull request更新本组项目内容的说明文档,谢谢。</p>
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<p>For international students: you need to submit the final project proposal to <a href="https://github.com/BITDM/bitdm.github.io">corresponding github repository</a> of the course in groups, pls fork the project and add your group information to existing group list, the group number should be assigned in linear order, namely, if your group is going to added to the list and there're 26 group till now, your group is numbered 27. Then you should copy any existing group's project folder and rename to your corresponding group number, edit the proposal.md file to your project content. Send the pull request after you finished editing group list and proposal file.
</p>
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<p>本课程作业由三部分组成:平时作业、选择本站点给出的<a href="algolist/">算法列表</a>中列举到的一个数据挖掘算法在课上给出一个小报告、课程Project(进行Presentation可获得加分,但由于小组较多,不能够保证所有组都进行一次报告,可在Project进行中依当前进度进行报告,不要求一定完成后再进行)。</p>
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<p>The final grade of the course consists of three parts: homeworks, select one algorithm from <a href="algolist/">this list</a> and give a short lecture, course project(Optional of project presentation, you can present while the project is in progress rather than all of the project finished, presentation counts towards the bonus for final grade)</p>
</div>
<div class="home">
<div class="materials-wrap">
<div class="module-header">2016作业</div>
<div class="materials-item">
<a href="2016/assignment_submit">
作业提交的时间及要求(2016.6.29更新)
</a>
</div>
<div class="materials-item">
<a href="2016/assignment1/">
作业 #1: 数据探索性分析与预处理
</a>|
<a href="/2016/assignments/submit/">
作业1提交情况
</a>|
<a href="2016/assignment1/review/">
作业1互评(2016.6.14更新)
</a>
<div class="materials-item">
<a href="2016/assignment2/">
作业 #2: 关联规则挖掘(2016.6.29更新)
</a>
</div>
<div class="module-header">2016课程自选项目</div>
<div class="materials-item">
<a href="2016/index.html">分组及选题情况</a>
</div>
<div class="materials-item">
<a href="/2016/projects/submit_req">提交说明(2016.7.10加入)</a>
</div>
<div class="materials-item">
<a href="/2016/projects/presentation/">课堂展示</a>
</div>
<div class="module-header">相关算法列表</div>
<div class="materials-item">
<a href="algolist/">点击查看</a>
</div>
<div class="module-header">课件下载</div>
<div class="materials-item">
绪论|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
<div class="materials-item">
第一章:数据挖掘介绍|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
<div class="materials-item">
第二章:数据|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
<div class="materials-item">
第三章:预处理|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
<div class="materials-item">
第四章:OLAP|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
<div class="materials-item">
第六章:关联规则挖掘|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
<div class="materials-item">
第七章:高级模式挖掘|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
<div class="materials-item">
第八章:分类基础|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
<div class="materials-item">
第九章:分类:高级方法|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
<div class="materials-item">
第十章:聚类基础|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
<div class="materials-item">
第十二章:离群点分析|
<a href="http://pan.baidu.com/s/1bpfVFYZ">查看</a>
</div>
</div>
</div>