Decision support and expert systems (4th ed.): management support systems
Decision support and expert systems (4th ed.): management support systems
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Data mining
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Bridging the gap between business objectives and parameters of data mining algorithms
Decision Support Systems - Special issue: knowledge discovery and its applications to business decision making
Decision support for real-time telemarketing operations through Bayesian network learning
Decision Support Systems - Special issue: knowledge discovery and its applications to business decision making
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Data mining: concepts and techniques
Data mining: concepts and techniques
Knowledge management and data mining for marketing
Decision Support Systems - Knowledge management support of decision making
Knowledge-Based Decision Support Systems: With Applications in Business
Knowledge-Based Decision Support Systems: With Applications in Business
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Building Effective Decision Support Systems
Building Effective Decision Support Systems
Past, present, and future of decision support technology
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
A decision support system for farm planning using AgriSupport II
Decision Support Systems
A Semantic Web Primer
Discovering Knowledge in Data: An Introduction to Data Mining
Discovering Knowledge in Data: An Introduction to Data Mining
An intelligent system for customer targeting: a data mining approach
Decision Support Systems
Ontologies: How can They be Built?
Knowledge and Information Systems
The integration of business intelligence and knowledge management
IBM Systems Journal
A fuzzy decision support system for strategic portfolio management
Decision Support Systems
A process model to develop an internal rating system: sovereign credit ratings
Decision Support Systems
A cognitively based functional taxonomy of decision support techniques
Human-Computer Interaction
Transparency in complex dynamic food supply chains
Advanced Engineering Informatics
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It is inherent to food supply chain networks that performance deviations occur occasionally due to variations in product quality and quantity. To reduce losses, one wants to be informed about such deviations as soon as possible, preferably even before they occur. Then it is possible to take actions to prevent or reduce negative consequences. In practice, extensive operational data is recorded, forming a valuable source for early warning and proactive control systems, i.e. decision support systems for prediction and prevention of such performance problems. Data mining methods are ideal for analyzing such data sources and extracting useable information from them. In this paper, we present a novel framework for early warning and proactive control systems that combine expert knowledge and data mining methods to exploit recorded data. We discuss the implementation of a prototype system and the experiences from a case study regarding the applicability of the framework.