intelligent decision support systemsmiquel/idss/idss-part 9-mai-1112.pdf · intelligent decision...

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Intelligent Decision Support Systems

(Part IX - CONCLUSIONS, FUTURE TRENDS AND LEARNING RESOURCES )

Miquel Sànchez i Marrè, Karina Gibert

[email protected], [email protected]

http://kemlg.upc.edu/menu1/miquel-sanchez-i-marre

http://kemlg.upc.edu/menu1/karina-gibert

Course 2011/2012


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PART 9 – CONCLUSIONS, FUTURE TRENDS AND LEARNING RESOURCES


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CONCLUSIONS

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© Miquel Sànchez i Marrè & Karina Gibert, KEMLG, 20094

Conclusions

Reliable IDSS for a real-world complex and ill-structureddomains can be constructed

Multi-knowledge and cooperation of several problem solvingtechniques (AI, statistical, numerical, control models)

Dealing with either normal situations, prototypical situations oridiosyncratic situations

Dynamic learning environments

Capturing expert knowledge to get a central corpus

Portability to similar real-world processes

Incorporating predictive knowledge

Effective Decision-Support for real problems

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Open Challenges

A common framework/architecture for IDSS development

Uncertainty Modelling

Spatial Reasoning

Temporal Reasoning

IDSS Validation

Integration of Models: interoperation of Artificial Intelligence/statistic/mathematical models



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LEARNING RESOURCES


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References

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References (1)

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Internet Resources

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Internet Resources Catalan Statistics Institute (Institut d'Estadística de Catalunya)

http://www.idescat.net

European Statistics Office http://www.europa.eu.int/comm/eurostat

UCI Machine Learning Repositoryhttp://archive.ics.uci.edu/ml/

Knowledge Discovery Network of Excellencehttp://www.kdnet.org/

Data Mining Resourceshttp://www.scd.ucar.edu/hps/GROUPS/dm/dm.html

Data Mining Siteshttp://www.cacs.louisiana.edu/~arlab/repos/sortedSites.html

GESCONDA softwarehttp://www.lsi.upc.edu/~webia/KEMLG/projects/gesconda.html

WEKA Software http://www.cs.waikato.ac.nz/~ml/

R Softwarehttp://www.r-project.org/

DAVIS Software http://stat.skku.ac.kr/myhuh/DAVIS.html

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Miquel Sànchez i Marrè, Karina Gibert([email protected], [email protected])

http://kemlg.upc.edu/

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