Identification of k-Most Promising Features to Set Blue Ocean Strategy in Decision Making

Identification of k-Most Promising Features to Set Blue Ocean Strategy in Decision Making

Abstract Customers demand typical type of products with multiple features. We want to develop a business intelligence system which helps the company to set the blue ocean strategy by discovering k-most promising features (k-MPF) from the customers’ query and a set of existing products of the similar...

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Bibliographic Details
Main Authors: Ritesh Kumar, Partha Sarathi Bishnu
Format: Article
Language:English
Published: SpringerOpen 2019-10-01
Series:Data Science and Engineering
Subjects:
Business intelligence
Market entry
Data mining
Decision making
Online Access:http://link.springer.com/article/10.1007/s41019-019-00106-z

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http://link.springer.com/article/10.1007/s41019-019-00106-z

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