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北理工数据挖掘大作业 - 微博推荐item预测中期报告

作业提交时间：2016.6.21

学生信息

  • 宁小东 2120151024
  • 王新灵 2120150994
  • 黄建峰 2120151042

数据集

随机抽样后的数据集文件（为了便于上传）

处理说明

对原始文档（共4.08GB含6个文件）处理如下：

  1. 随机抽取了30000条数据进行分析，对测试集只抽取了10000条且不进行分析。
  2. 对每个文件进行数据摘要及可视化，分析对预测结果影响较大的因素。
  3. 中期报告请详见interim_report.pdf。

包含文件

  • extracted_item.csv等CSV文件 随机抽样后的数据集
  • item_analysis.m等M文件 对每个CSV文件逐个进行可视化分析，这些M文件需使用matlab先手动载入CSV并命名各字段，进而在控制台执行M文件代码
  • interim_report.pdf 中期报告，对实验结果进行了详细描述

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