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A novel evolutionary data mining algorithm with applications to churn prediction
WH Au, KCC Chan,
Xin Yao
Computer Science
Research output
:
Contribution to journal
›
Article
235
Citations (Scopus)
Overview
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Dive into the research topics of 'A novel evolutionary data mining algorithm with applications to churn prediction'. Together they form a unique fingerprint.
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Keyphrases
Data Mining Techniques
100%
Churn Prediction
100%
Evolutionary Data Mining
100%
Subscriber
100%
Evolutionary Learning
75%
Churn
75%
Classification Problem
50%
Classification Rules
50%
First-order
25%
High-order
25%
Evolutionary Approach
25%
Evolutionary Process
25%
Classification Model
25%
Class Membership
25%
Telecom
25%
Attribute Value
25%
Interesting Rules
25%
Induction Techniques
25%
Rule Rule
25%
Rule Space
25%
Unknown Class
25%
Churn Rate
25%
Objective Interestingness Measures
25%
Mining Research
25%
Search-as-learning
25%
Subscriber Data
25%
Computer Science
Data Mining
100%
Classification Rule
100%
Classification Problem
100%
Data Mining Algorithm
100%
Evolutionary Approach
50%
Large Data Set
50%
Data Mining Task
50%
Data Record
50%
Predefined Class
50%
Data Mining Research
50%
Classification Models
50%
Interestingness Measure
50%
Attribute Value
50%
Subscriber Data
50%