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A Naïve Bayes approach to map customer requirements to product variants
Yue WANG
, Mitchell M. TSENG
Department of Mathematics and Information Technology (MIT)
Research output
:
Contribution to journal
›
Articles
›
peer-review
45
Citations (Scopus)
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Keyphrases
Customer Requirements
100%
Product Variants
100%
Nave Bayes
100%
Bayes Approach
100%
Copyright
12%
Market Segmentation
12%
Classification Accuracy
12%
Accuracy Measure
12%
Mapping Problem
12%
Classification Problem
12%
Choice Data
12%
Existing Product
12%
Customer Preference
12%
Information Uncertainty
12%
Positioning Strategy
12%
F-measure
12%
Product Offering
12%
New Customers
12%
Class Label
12%
Probabilistic Classifier
12%
Ambiguous Language
12%
Product Positioning
12%
Computer Science
Customer Requirement
100%
Nave Bayes
100%
Product Variant
100%
Case Study
12%
Good Performance
12%
Classification Accuracy
12%
Classification Problem
12%
Uncertain Information
12%
Product Offering
12%
Engineering
Product Variant
100%
Bayes Approach
100%
Tasks
20%
Classification Problem
20%
Good Performance
20%
Classification Accuracy
20%
Class Label
20%