Titlebook: Soft Computing in Data Science; First International Michael W. Berry,Azlinah Mohamed,Bee Wah Yap Conference proceedings 2015 Springer Scie

慷慨援助

Contrast Comparison of Flat Electroencephalography Image: Classical, Fuzzy, and Intuitionistic Fuzzyn this paper, the image of Flat EEG (fEEG) is compared via classical, fuzzy, and intuitionistic fuzzy set (IFS) methods. Furthermore, the comparison between the input and output images of fEEG is carried out based on contrast comparison.

Medley

鐵砧

Minatory

Classifying Forum Questions Using PCA and Machine Learning for Improving Online CQA answers from the forum. In this study, feature selection method called Principal Component Analysis was used to extract the factors or components of the features. Then data mining techniques was used to identify the relevant features that will help predict the quality of questions.

帶來墨水

Junction

Selfish Gene Image Segmentation Algorithmopulation in each generation. The chromosomes are rewarded and penalized according to the chromosomes performance. Evaluation with the ground truth images shows that the selfish gene is able to detect the variation of colors very similar to the way eye detect color.

Engulf

Limousine

招惹

1865-0929 cience, SCDS 2015, held in Putrajaya, Malaysia, in September 2015..The 25 revised full papers presented were carefully reviewed and selected from 69 submissions. The papers are organized in topical sections on data mining; fuzzy computing; evolutionary computing and optimization; pattern recognition

IOTA

An Improved Particle Swarm Optimization via Velocity-Based Reinitialization for Feature Selectionifier performance and the selected number of features. It was found that on average, the accuracy of the particle swarm optimization with an improved velocity-based initialization method is higher than the existing VBR method and generally generates a lesser number of features.