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A fuzzy-based approach to survival data mining
Mark Last
, Hezi Halpert
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peer-review
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Dive into the research topics of 'A fuzzy-based approach to survival data mining'. Together they form a unique fingerprint.
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Keyphrases
Survival Analysis
100%
Survival Data
100%
Monitoring Object
100%
Fuzzy-based Approach
100%
Prediction Accuracy
50%
Censored Data
50%
Medical Patients
50%
Patient Death
50%
Classification Algorithms
50%
Real-world Application
50%
Events of Interest
50%
Equipment Failure
50%
Traditional Data
50%
Classification Performance
50%
Data Mining Techniques
50%
Right Censoring
50%
Infinite Streams
50%
Class Label
50%
Event History Analysis
50%
Few Snapshots
50%
Label Adjustment
50%
Survival Events
50%
Fuzzy Based
50%
Specific Object
50%
Fuzzy Class
50%
Mathematics
Survival Analysis
100%
Data Mining
100%
Survival Data
100%
Probability Theory
50%
Accurate Prediction
50%
Censored Data
50%
Class Label
50%
Cutoff Point
50%
Data Mining Algorithm
50%
Computer Science
Data Stream
100%
Data Mining
100%
Classification Algorithm
33%
Classification Performance
33%
World Application
33%
Data Mining Algorithm
33%
Object Record
33%
Equipment Failure
33%
History Analysis
33%