Keyphrases
Service Operations
100%
Rule Extraction
100%
Data Mining Model
100%
Customer Type
100%
Multi-attribute Data
100%
K-means
66%
Behavioral Patterns
66%
Data Mining Techniques
66%
Financial Services Industry
66%
Number of Clusters
33%
Data Combination
33%
Large-scale Problems
33%
Demographic Characteristics
33%
Area-based
33%
Recency
33%
Hybrid Method
33%
Design Methodology
33%
Decision-making Approach
33%
Service Industry
33%
Novel Hybrids
33%
Data Mining Tools
33%
Frequency Model
33%
Industry Needs
33%
Benchmarking Method
33%
Customer Data
33%
Banking Industry
33%
Financial Transactions
33%
Quality Analysis
33%
Financial Behavior
33%
Multi-layer Decision-making
33%
Monetary Model
33%
Hybrid Multi-attribute
33%
In Service Operations
33%
Evaluation Based on Distance from Average Solution
33%
Customer Behavior Pattern
33%
Hybrid Data Mining
33%
Associative Rules
33%
Orthogonal Vectors
33%
Apriori Algorithm
33%
Computer Science
Benchmarking
100%
Data Mining Model
100%
Attribute Data
100%
Rule Extraction
100%
Data Mining
66%
Financial Service Industry
66%
Behavior Pattern
66%
Evaluation Based On Distance From Average Solution
66%
Decision-Making
33%
Hybrid Approach
33%
Quality Analysis
33%
Behavioral Pattern
33%
Large-Scale Problem
33%
K-Means Clustering
33%
Demographic Characteristic
33%
Customer Behavior
33%
apriori algorithm
33%
Orthogonal Vector
33%
Data Mining Tool
33%
Benchmarking Approach
33%