LSSVM-Based Social Spam Detection Model

Abstract

To Resolve the garbage tag issue in Folksonomy, Lssvm algorithm for social spam detection model (least Squares support vector machine classifiers) was proposed. The method of inequality change the constraints in the traditional support vector machine into equality constraints, and take the empirical function of the squared error loss function as the Experience function in training set. so that the quadratic programming problem convert QP into solving linear equations, it was improving solution the speed of solution and accuracy of convergence.The experimental results show that we have got higher classification accuracyand less predict time than traditional svm detection methods based on least squares support vector machine algorithm garbage tag detection model.

Stored-grain Pests Detection Based on SVM

“…We randomly select a part of negative and positive samples for training SVM [8,9,8,[10][11][12][13][14][15][16][17][18],PLS [19][20][21][22][23] and LSSVM [24][25][26][27][28] classifiers and the rest for testing.…”