SVM algorithm in data mining

This paper proposes a new approach which combines different classifiers in order to make best use of each classifier. To build the new model, we evaluate the accuracy and performance (training and testing time) of three classification algorithms: ID3, Naitive Bayes and SVM.

8p tamynhan8 04-11-2020 12 2   Download

In this paper, we present a novel method for the detection of network anomaly in intrusion detection system. The proposed detection algorithm, are called hybrid algorithm. It is combination of two algorithm genetic and SVM. Experimental results demonstrate to be superior to existing k-mean algorithm.

8p hongnhan878 12-04-2019 30 0   Download

In an effort to identify some of the most influential algorithms that have been widely used in the data mining community, the IEEE International Conference on Data Mining (ICDM, http://www.cs.uvm.edu/∼icdm/) identified the top 10 algorithms in data mining for presentation at ICDM ’06 in Hong Kong. This book presents these top 10 data mining algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Na¨ıve Bayes, and CART.

206p trinh02 23-01-2013 134 40   Download