CUBS: Multivariate sequence classification using bounded Z-Score with sampling

Keyphrases

• Challenging Tasks 33%
• Classification Model 33%
• Data Mining Techniques 66%
• Frequent Subsequences 33%
• Full Solution 33%
• Itemset Mining 100%
• Multivariate Sequences 100%
• Pruning 33%
• Sampling Methods 33%
• Score Normalization 66%
• Sequence Classification 100%
• Sequencing Bias 33%
• Short Sequence 33%
• Statistical Value 33%
• Subsequence 66%
• Synthetic Data 33%
• Temporal Sequence 33%

Computer Science

• Classification Models 50%
• Sampling Technique 50%
• Score Normalization 100%
• Sequence Classification 100%
• Synthetic Datasets 50%
• Temporal Sequence 50%