Data mining analysis of granular bed caking during hop extraction

Proceedings - 5th International Conference on Intelligent Systems Design and Applications 2005, ISDA '05

Volumn 2005, Issue , 2005, Pages 426-431

  Grzymala Busse, Jerzy W ^a,b   Hippe, Zdzislaw S ^c   Mroczek, Teresa ^c   Roj, Edward ^d   Skowronski, Boleslaw ^d  

^a University of Kansas   (United States)

^b INSTITUTE OF COMPUTER SCIENCE   (Poland)

^c UNIVERSITY OF INFORMATION TECHNOLOGY AND MANAGEMENT   (Poland)

^d Fertilizers Research Institute   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATA STRUCTURES; ERROR ANALYSIS; INFORMATION RETRIEVAL; KNOWLEDGE ACQUISITION;

GRANULAR BED CAKING; HOP EXTRACTION; KNOWLEDGE DISCOVERY; RULE INDUCTION;

DATA MINING;

EID: 33846963213     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2005.36     Document Type: Conference Paper

References (17)

1. C.-C. Chan and J. W. Grzymala-Busse. On the attribute redundancy and the learning programs ID3, PRISM, and LEM2. Department of Computer Science, University of Kansas, TR-91-14, December 1991, 20 pp.
2. M. R. Chmielewski and J. W. Grzymala-Busse. Global discretization of continuous attributes as preprocessing for machine learning. Int. Journal of Approximate Reasoning, 15: 319-331, 1996.
3. A. L. Chassagnez-Mendez, N. T. Machado, M. E. Araujo, J. G. Maia, M. A. Meireles. Supercritical CO2 extraction of eurcumis and essential eil from the rhizomes of turmeric (Curcuma longa L.), Ind. Eng. Chem. Res., 39: 4729-4733, 2000.
4. B. Everitt. Cluster Analysis. London, United Kingdom, Heinmann Educational Books, Second Edition, 1980.
5. J. W. Grzymala-Busse. Knowledge acquisition under uncertainty - A rough set approach. Journal of Intelligent & Robotic Systems 1: 3-16, 1988.
6. J. W. Grzymala-Busse. LERS - A system for learning from examples based on rough sets. In Intelligent Decision Support. Handbook of Applications and Advances of the Rough Sets Theory, ed. by R. Slowinski, Kluwer Academic Publishers, Dordrecht, Boston, London, 1992, 3-18.
7. J. W. Grzymala-Busse. A new version of the rule induction system LERS, Fundamenta Informaticae 31: 27-39,1997.
8. J. W. Grzymala-Busse. MLEM2: A new algorithm for rule induction from imperfect data. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2002, July 1-5, Annecy, France, 243-250.
9. D. Heckerman. A tutorial on learning Bayesian networks. Technical report MSR-TR-95-06. At: heckerman@microsoft.com.
10. Z. S. Hippe. Design and application of new knowledge engineering tool for solving real world problems, Knowledge-Based Systems, 9: 509-515, 1996.
11. T. Mroczek, J. W. Grzymala-Busse, Z. S. Hippe. Rules from belief networks: A Rough Set Approach. In: Rough Sets and Current Trends in Computing, ed. by S. Tsumoto, R. Slowinski, J. Komorowski, and J. W. Grzymala-Busse, Springer-Verlag, Uppsala, Sweden 2004, 483-487.
12. Z. Pawlak. Rough Sets. International Journal of Computer and Information Sciences, 11: 341-356, 1982.
13. Z. Pawlak. Rough Sets. Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht, Boston, London, 1991.
14. Z. Pawlak. Knowledge and rough set (in Polish). In: W. Traczyk (Ed.), Problems of Artificial Intelligence, Wiedza i Zycie, Warsaw, Poland, 9-21, 1995.
15. B. Skowronski, interviewed by L. Dubiel. Hop extract Polish at last (in Polish), Przem. Ferment, i Owocowo - Warzywny, 9: 30-31, 2000.
16. B. Skowronski and Z. Mordecka. Polish plant for supercritical extraction of hop (in Polish), Przem. Chem., 80(11):521-523, 2001.
17. J. Stefanowski. Algorithms of Decision Rule Induction in Data Mining. Poznan University of Technology Press, Poznan, Poland, 2001.