The nature of statistical learning theory
The nature of statistical learning theory
Credit scoring with a data mining approach based on support vector machines
Expert Systems with Applications: An International Journal
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Prediction in Marketing Using the Support Vector Machine
Marketing Science
A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach
Expert Systems with Applications: An International Journal
Supplier selection based on hierarchical potential support vector machine
Expert Systems with Applications: An International Journal
A hybrid approach of DEA, rough set and support vector machines for business failure prediction
Expert Systems with Applications: An International Journal
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
Expert Systems with Applications: An International Journal
Support vector machine approach for partner selection of virtual enterprises
CIS'04 Proceedings of the First international conference on Computational and Information Science
An Adaptive Match-Making System reflecting the explicit and implicit preferences of users
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Business development is vital for any firms. However, globalization and the rapid development of technologies have made it difficult to find appropriate business partners such as suppliers and customers, and build reciprocal relationships among them, while it simultaneously offers many opportunities. In this contribution, we propose AI-based approach to find plausible candidates of business partners using firm profiles and transactional relationships among them. We employ machine learning techniques to build a prediction model of customer-supplier relationships. We applied our approach to the large amount of actual business data. The results showed that our approach successfully found potential business partners with F-values of about 84% and reciprocity among them with F-values of about 77%. Using our method, we also developed the Web-based system that helps people in actual businesses to find their new business partners. These contribute to developing one's own business in the complicated, specialized and rapidly changing business environments of recent years.