Title :
A Novel Classification Method Based on Data Gravitation
Author :
Peng, Lizhi ; Chen, Yuehui ; Yang, Bo ; Chen, Zhenxiang
Author_Institution :
Sch. of Inf. Sci. & Eng., Jinan Univ.
Abstract :
This paper introduced the concept of gravitation and gravitation field into data classification by utilizing analogical inference, and studied the method to calculate data gravitation. Based on the theoretical model of data gravitation and data gravitation field, the paper presented a new classification model called data gravitation based classifier (DGC). The proposed approach was applied to the intrusion detection system (IDS) with 41 inputs (features). Experimental results show that the proposed method was efficient in data classification
Keywords :
data mining; inference mechanisms; security of data; analogical inference; data classification method; data gravitation field; intrusion detection system; Clustering algorithms; Data engineering; Decision trees; Electronic mail; Gravity; Information science; Intrusion detection; Neural networks; Support vector machine classification; Support vector machines;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614719
