KDSM methodology for knowledge discovery from Ill-structured domains presenting very short and repeated serial measures with blocking factor

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2504, Issue , 2002, Pages 228-238

  Rodas, Jorge ^a   Gibert, Karina ^b   Rojo, J Emilio ^c  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b Department of Statistics and Operational Research ^*  (Spain)

^c HOSPITAL UNIVERSITARI DE BELLVITGE   (Spain)

Author keywords

Classification; Clustering; Ill structured domains; Knowledge discovery; Serial measures

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DATA MINING; KNOWLEDGE BASED SYSTEMS; STATISTICAL METHODS; TIME SERIES ANALYSIS;

ARTIFICIAL INTELLIGENCE TECHNIQUES; CLUSTERING; ILL-STRUCTURED DOMAINS; INDUCTIVE LEARNING; INTRINSIC CHARACTERISTICS; KNOWLEDGE-BASED METHODS; MULTIVARIATE DATA ANALYSIS; SERIAL MEASURES;

MULTIVARIANT ANALYSIS;

EID: 23044532048     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36079-4_20     Document Type: Conference Paper

References (18)

1. Abrams, R.: Electroconvulsive Therapy. Ed. Oxford University Press. Third Edition. NY.US (1997)
2. Adrians, P. and Zantinge, D.: Data Mining, Addison-Wesley. Third Edition (1998)
3. Bin, Xia B.: Similarity Search in Time Series Data Sets. Simon Fraser University Press. (1997)
4. Box, G. and Jenkins, G. and Reinsel, G.: Time Series Analysis, Forecasting and Control. Prentice Hall. Third Edition (1994)
5. Fayyad, U. and Piatetsky-Shapiro, G. and Smyth, P.: From Data Mining to Knowledge Discovery in Databases (a survey). AI Magazine, Vol. 17: 3. (1996) 37-54
6. Gibert, K. and Cortés, U.: Weighing quantitative and qualitative variables in clustering methods. Mathware and Soft Computing, Vol. 4: 3. (1997) 251-266
7. Gibert, K. and Roda, I. and Cortés, U. and Sànchez-Marrè, M.: Identifying characteristic situations in wastewater treatment plants. Workshop in Binding Environmental Sciences and Artificial Intelligence, Vol. 1. (2000) 1-9
8. Matthews, J.N.S.: A refinament to the analysis of serial data using summary measures. Statistics in Medicine, Vol. 12. (1993) 27-37
9. Rodas, J. and Gibert, K. and Rojo, J. and Cortés, U.: A methodology of knowledge discovery in serial measurement applied to psychiatric domain. Technical University of Catalonia Press, LSI-01-53-R. (2001)
10. Rodas, J. and Gibert, K. and Rojo, J.: Influential factors determination on an illstructured domain response. Technical University of Catalonia Press, LSI-01-6-R. (2001)
11. Rodas, J. and Gibert, K. and Rojo, J.: The use of Clustering Base on Rules for Electroshock Effects Identification. Butlleti de l'ACIA, Number 25. (2001) 145-153
12. Rodas, J. and Gibert, K. and Rojo, J.: Electroshock Effects Identification Using Classification Techniques. Springer's Lecture Notes of Computer Science Series, Vol. Crespo, Maojo and Martin (Eds.). (2001) 238-244
13. Rodas, J. and Gibert, K. and Vázquez, R.: Artificial Intelligence and Statistics : Common Things. Actas del SICI 00. (2000) 45-50
14. Rodas, J. and Gramajo, J.: Classification and Clustering Study in Incomplete Data Domain. Technical University of Catalonia Press, LSI-01-11-R. (2000)
15. Siegal, S. and Castellan, N.J.: Nonparametric statistics for the Behavioral Sciences, Minimum mean Rank differences. McGraw Hill. Second Edition. (1988) 206-215
16. Vázquez, F. and Gibert, K.: Generación Automática de Reglas Difusas en Dominios Poco Estructurados con Variables Numéricas. CAEPIA, Vol. 1. (2001) 143-152
17. Vázquez, F.: Automatic Characterization and Interpretation of Conceptual Descriptions in Ill-Structured Domains using Numerical Attribute. Technical University of Catalonia Press, LSI-02-51-R. (2002)
18. Walpole, R. and Myers, R. and Myers S.: Probability and Statistics for Engineers and Scientists. Prentice Hall. Sixth Edition. (1998)