A Framework for Projected Clustering of High Dimensional Data Streams

Keyphrases

• Projected Clustering 100%
• High-dimensional Data Streams 100%
• Effective Method 25%
• Synthetic Data 25%
• Analysis of Similarity (ANOSIM) 25%
• Clustering Algorithm 25%
• Evolutionary Analysis 25%
• Preprocessing Techniques 25%
• Data Stream Classification 25%
• Data Stream Clustering 25%
• Classification Analysis 25%
• Data Stream Mining 25%
• Outlier Analysis 25%
• Condensed Representation 25%
• CluStream 25%

Computer Science

• Data Stream 100%
• High Dimensional Data 100%
• Data Mining 25%
• Effective Method 25%
• Synthetic Data 25%
• Clustering Algorithm 25%
• Dimensional Data 25%
• Preprocessing Step 25%
• Outlier Analysis 25%
• Condensed Representation 25%
• Classification Analysis 25%

Mathematics

• Dimensional Data 100%
• Real Data 50%
• Synthetic Data 50%
• Clustering Algorithm 50%
• Data Mining 50%
• Outlier 50%