Towards a Better Integration of Data Mining and Decision Support via Computational Intelligence

Delisle, Sylvain

doi:10.1109/dexa.2005.189

Cited by 9 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another applications is Geovisualization, where the information selection is finalized to build efficient cognitive visual interfaces [21]. However, finding application of data mining as core component of a versatile system, finalized to optimize the processing itself is harder [5]. Examples of use of data mining methods in decision support are in [20,23].…”

Section: Existing Solutionsmentioning

confidence: 99%

A Feature Ranking Component for GIS Architecture

Gemelli

Diamantini

Potena

2009

Information Systems: People, Organizations, Institutions, and Technologies

View full text Add to dashboard Cite

For a Geographical Information System, it is wanted to design a permanent architectural component which is committed to select relevant information from large databases and network of sensors, and useful in the wide range of applications that such system is destined to. This component allows the system to reach an optimal performance with savings on data acquisition costs and computational resources. The component is based on Data Mining technology and uses feature extraction algorithms to rank the relevance of the dataset features. In all applications reducible to a classification of geographical objects, the feature ranking procedure highlights the features with higher class discriminatory power. Features Ranking is also a cognitive strategy, and produces models of interest toward an artificial intelligent system. The GIS is a Decision Support System (DSS), whereas the feature ranking component supports a within processing decisional activity. A prototype of this component has been assembled and tested on several geographical dataset with promising results at current research stage.

show abstract

Section: Existing Solutionsmentioning

confidence: 99%

A Feature Ranking Component for GIS Architecture

Gemelli

Diamantini

Potena

2009

Information Systems: People, Organizations, Institutions, and Technologies

View full text Add to dashboard Cite

show abstract

“…Data mining is not well integrated with the decision support system [4]. IDSS proposed by Wang takes advantage of the intelligent, autonomous, and active aspects of intelligent agent technology [17].…”

Section: Comparisons With Related Workmentioning

confidence: 99%

“…The results emerging from the data mining community can be an important contribution to IDSS community by providing techniques which future IDSS can be able to utilize in providing a wide range of information Bingru Yang ,Wei Song Despite the huge interest and sometimes unrealistic hopes it has generated, unfortunately, DM still faces several serious challenges. For example, the fact that DM remains essentially poorly integrated with the decision support [4].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Decision Support System Based on Data Mining: Foreign Trading Case Study

Zhang¹,

Yang

Song

et al. 2007

2007 IEEE International Conference on Control and Automation

View full text Add to dashboard Cite

show abstract

“…The search and extraction can be a difficult and exhaustive process [5]. DM remains poorly integrated with the decision support [10] Visual data mining is a step forward [6].…”

Section: Literature Studymentioning

confidence: 99%