Anomaly detection in web documents using crisp and fuzzy-based cosine clustering methodology

Mathematics

• Anomaly Detection 94%
• Clustering 58%
• Methodology 44%
• Number of Clusters 34%
• Document Clustering 25%
• Anomalous 15%
• Vector Space Model 12%
• Similarity 11%
• Overload 10%
• Costs 9%
• Real-world Applications 8%
• Space Complexity 8%
• Cluster Analysis 8%
• Performance 8%
• Training 7%
• Monitoring 6%
• Limiting 5%

Business & Economics

• Anomaly Detection 100%
• Clustering 55%
• Methodology 30%
• Inverted File 25%
• Document Clustering 24%
• Vector Space Model 11%
• Cluster Analysis 9%
• Medical Records 9%
• Personal Data 8%
• Overload 8%
• Performance 5%
• Costs 5%

Engineering & Materials Science

• Anomaly detection 63%
• Cluster analysis 7%
• Vector spaces 6%
• Data privacy 6%
• Costs 5%