Title :
Application of data mining in agricultural topic tracking
Author :
Zhang, Wei ; Wang, Xue ; Li, Shuping ; Xia, Chunyan
Author_Institution :
Dept. of Comput. Sci. & Technol., Mudanjiang Normal Univ., Mudanjiang, China
Abstract :
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.
Keywords :
agricultural engineering; data mining; rough set theory; agricultural topic tracking; attribute reduction; data mining; rough set theory; Agriculture; Algorithm design and analysis; Data mining; Educational institutions; Heuristic algorithms; Humidity; Information systems; agricultural; data mining; rough set; topic tracking;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6181903
