Improving support vector machine level-based for person domain categorization
Lijuan Diao, Lei Cui, Xijie Wang
Available Online May 2014.
- https://doi.org/10.2991/lemcs-14.2014.233How to use a DOI?
- KNN DAG-SVM KNN-DAG-SVM TFIDF
- Classification technology refers to assigning of one or more suitable categories from multiple categories data sets. While previous work in classification focused on single classifier, we propose classification method of improving support vector machine level-based that can classify multiple categories. Actually, we use the weight calculation method of TFIDF and combine DAG-SVM and KNN algorithm to improve precise of classification. An experiment has been carried out to measure the performance of our proposed classification method. The results show that our method performs better for person domain data set comparing with single DAG-SVM method.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lijuan Diao AU - Lei Cui AU - Xijie Wang PY - 2014/05 DA - 2014/05 TI - Improving support vector machine level-based for person domain categorization BT - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014) PB - Atlantis Press SP - 1043 EP - 1047 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-14.2014.233 DO - https://doi.org/10.2991/lemcs-14.2014.233 ID - Diao2014/05 ER -