A Spammer Identification Method for Class Imbalanced Weibo Datasets

Computer Science

• Biggest Challenge 100%
• Machine Learning 100%
• Experimental Result 100%
• Support Vector Machine 100%
• Learning Performance 100%
• Feature Vector 100%
• Classification Algorithm 100%
• Fuzzy Logic 100%
• Class Imbalance Problem 100%
• Ensemble Learning 100%
• Imbalanced Data 100%
• Microblogs 100%
• Base Classifier 100%

Keyphrases

• Class Imbalance 100%
• Identification Method 100%
• Weibo 100%
• Spammer's Identification 100%
• Spammer 100%
• Machine Learning 25%
• Existing State 25%
• Popular 25%
• China 25%
• Ensemble Learning Method 25%
• Feature Vector 25%
• Classification Algorithms 25%
• State-of-the-art Techniques 25%
• Fuzzy Logic 25%
• Logic-based 25%
• Imbalance Problem 25%
• Content Similarity 25%
• Learning Performance 25%
• Training Stages 25%
• Class Imbalance Problem 25%
• Recall Rate 25%
• Imbalanced Data 25%
• Microblog 25%
• Precision Parameters 25%
• Information Sharing Platform 25%
• Multiple Bases 25%
• Base Classifier 25%
• Algorithmic Level 25%
• Cost-sensitive Support Vector Machine 25%
• Comprehensive Feature 25%