The k-means range algorithm for personalized data clustering in e-commerce
Article Abstract:
The application of heuristic programming techniques for the performance of range searches, to analyse the process of data clustering in personalized systems during distributed consumer decision-making, is described.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2007
User Contributions:
Comment about this article or add new information about this topic:
A fuzzy multiple objective decision support model for energy-economy planning
Article Abstract:
Usage of fuzzy multiple objectve linear programming and interactive methods, to design and develop decision support systems for input-output analysis in an energy system, is described.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2003
User Contributions:
Comment about this article or add new information about this topic:
Towards using computational methods for real-time negotiations in electronic commerce
Article Abstract:
Usage of computational methods for design and development of decision support systems, which facilitate group decisions and negotiations in elctronic commerce, is described.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2003
User Contributions:
Comment about this article or add new information about this topic:
- Abstracts: The Spanish market for sun care. Sun care in France. Skin Care & Sun Care in Poland
- Abstracts: A tabu search algorithm for self-healing ring network design. Solving spread spectrum radar polyphase code design problem by tabu search and variable neighborhood search
- Abstracts: Polynomial algorithms for resource-constrained and multiprocessor task scheduling problems. Lower bounds for resource-constrained project scheduling problems
- Abstracts: Scatter search and bionomic algorithms for the aircraft landing problem. Allocating fixed costs and resources via data envelopment analysis