Application of Data Mining in Agricultural Topic Tracking

摘要：

This paper combined characteristics of agricultural topic tracking, researches attributes reduction of Rough Set Theory. The experimental results show that the algorithm is verified to be more feasible and effective. Solve the key problems of agricultural topic tracking.

关键词： data mining rough set agricultural topic tracking

作者: Wei Zhang Xue Wang Shuping Li Chunyan Xia

作者单位: Department of Computer Science and Technology, Mudanjiang Normal University Mudanjiang, China Department of Western language, Mudanjiang Normal University Mudanjiang, China

会议类型: 国际会议

会议名称: 2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 38-41

在线出版日期: 2011-12-24（万方平台首次上网日期，不代表论文的发表时间）