Knowledge systems for sustainable innovation of starch potato production: Achieving More With Less

Faber, Niels; Haren, Rob van

doi:10.9774/gleaf.978-1-909493-65-0_15

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Problem solving system consists of problem analysis and problem solving of two parts. The problem-solving process involves: first, the issues raised under the policy-makers to construct the problem-oriented module sequence; and based module sequence to obtain optimal solution or satisfactory solution [6,7,8]. Parts of data including database management systems and databases.…”

mentioning

confidence: 99%

Notice of Retraction: The application of multilayer distributed intelligent decision support system to regional economy

2010

2010 2nd International Conference on Computer Engineering and Technology

View full text Add to dashboard Cite

For forecasting, early warning and simulation of economic policy, this paper has established a multi-level-based distributed intelligent decision support for regional economic system, analysis of the laws governing the operation of regional economic system, trends and influencing factors. In the regional economy take full advantage of multi-level distributed intelligent decision support system to successfully assist the Government in policy-making departments to keep abreast of regional economic development of relevant information and provides the user the actual economic development and systems analysis of the evaluation index system derived, using scientific analysis model, and gives the best and reliable conclusious, at any time for decision-makers to provide efficient, timely, high-quality decision-making information, thereby enhancing the scientific nature of decision-making, and guide the healthy development of the regional economy.

show abstract

mentioning

confidence: 99%

Notice of Retraction: The application of multilayer distributed intelligent decision support system to regional economy

2010

2010 2nd International Conference on Computer Engineering and Technology

View full text Add to dashboard Cite

show abstract

“…Connecting information from a research done earlier (N. Faber et al, 2006) and e-mail addresses used for logging in, we identified twenty-two sessions belonging to "top- a. top farmers b. quality farmers c. quantity farmers Figure 12. The mined behavior for clusters 'top farmers', 'quality farmers' and 'quantity farmers', using genetic algorithm.…”

Section: Mining the Navigational Patterns Of Farmer Groupsmentioning

confidence: 99%

“…We aim to investigate the logs resulted from using a decision support system called OPTIRas TM , that aids farmers in their cultivar selection activities (AVEBE, n.d.), and to get insights into farmers' navigational behavior. We analyse farmers' patterns of behavior by combining these insights with decision making theories, and previous work concerning the development of farmer groups (N. Faber, Jorna, Haren, & Maruster, 2006;N. R. Faber, 2006).…”

Section: Introductionmentioning

confidence: 99%

A Process Mining Approach to Analyse User Behaviour

Măruşter¹,

Faber²,

Jorna³

et al. 2008

Proceedings of the Fourth International Conference on Web Information Systems and Technologies

View full text Add to dashboard Cite

Abstract. Designing and personalising systems for specific user groups encompasses a lot of effort with respect to analysing and understanding user behaviour. The goal of our paper is to provide insights about patterns of behaviour of specific user groups; we consider farmers as a specific user group, during the usage of a decision support system supporting cultivar selection -OPTIRas TM . We analyse users' patterns of behaviour by combining these insights with decision making theories, and previous work concerning the development of farmer groups. We provide a method of automatically analysing the logs resulted from the usage of the decision support system by means of process mining. The results of our analysis can be used to support the redesigning and personalization of decision support systems in order to address specific users, namely farmer's characteristics.

show abstract

Personalization for Specific Users: Designing Decision Support Systems to Support Stimulating Learning Environments

Măruşter

Faber

Haren

2009

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Knowledge systems for sustainable innovation of starch potato production: Achieving More With Less

Cited by 3 publications

References 0 publications

Notice of Retraction: The application of multilayer distributed intelligent decision support system to regional economy

Notice of Retraction: The application of multilayer distributed intelligent decision support system to regional economy

A Process Mining Approach to Analyse User Behaviour

Personalization for Specific Users: Designing Decision Support Systems to Support Stimulating Learning Environments

Contact Info

Product

Resources

About