The week's pick
Reseach Article
Data Mining for Rules Extraction to Virgin Olive Oil Optimization Process
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 14 |
| Year of Publication: 2020 |
| Authors: A. Jiménez Márquez, G. Beltrán Maza |
10.5120/ijca2020920065
|
A. Jiménez Márquez, G. Beltrán Maza . Data Mining for Rules Extraction to Virgin Olive Oil Optimization Process. International Journal of Computer Applications. 176, 14 ( Apr 2020), 24-30. DOI=10.5120/ijca2020920065
Abstract
From historical database of virgin olive oil elaboration process and data mining techniques can be extracted useful information of the process to its optimization. In this work data from an analytical and process variables database, collected trough four crop years, was used and a spurious data filtration and a tree decisional J48 algorithm based protocol was applied. The results obtained allow see the oil mill behavior under different conditions of process variables accord two objectives: the performance by the oil loss in olive cake and oil quality by the oil polyphenols content. This information extracted can allow the building of rules for variables combination to get the objectives.
References
- Adamo, J.M. 2001 Data Mining for Association Rules and Sequential Patterns.Sequential and Parallel Algorithms. Springer, New York.
- Cios, K.J., Pedrycz, W., Swiniarski, R.W., Kurgan, L.A. 2007 Data mining: A knowledge discovery approach. Springer, New York.
- Silwattananusar, T., Tuamsuk, K. 2012 Data Mining and Its Applications for KnowledgeManagement : A Literature Review from 2007 to 2012, International Journal of Data Mining & Knowledge Management Process (IJDKP) 2(5), 13-24.
- H. Wang, H., Wang, S. 2008 A knowledge management approach to data mining process for business intelligence. Industrial Management & Data Systems 108(5), 622-634.
- Ting, S.L., Shum, C.C., Kowk, S.K., Tsang, A.H.C., Lee, W.B. 2009 Data Mining in Biomedicine: Current Applications and Further Directions for Research. Journal Software Engineering & Apllications 2, 150-159.
- Soroush-Rohanizadeha, S., Bameni-Moghadama, M. 2009 A Proposed Data Mining Methodology and its Application to Industrial Procedures. Journal of Industrial Engineering 4, 37-50.
- Last, M., Szczepaniak, P.S., Volkovich, Z., Kandel. A. 2006 Advances in Web Intelligence and Data Mining. Studies in Computational Intelligence, Vol. 23. Springer, New York.
- Hermoso, M., González, J., Uceda, M., García-Ortíz, A., Morales, J., Frias, L., Fernández, A. 1998 Virgin olive oil of quality. Elaboration by tow-phases process. 61/98. Consejería de Agricultura y Pesca. Junta de Andalucía. Sevilla. Spain.
- Jiménez, A., Aguilera, M.P., Uceda, M., Beltrán, G. 2009 Neural network as tool for virgin olive oil elaboration process optimization, Journal of Food Engineering, 95(1), 135-141.
- Jiménez, A., Aguilera, M.P., Beltrán, G., Uceda, M. 2008 A sensor-software based on artificial neural network for the optimization of olive oil elaboration process, Sensor and Actuator B, 129, 985-990.
- Jiménez,A., Hermoso, M., Uceda, M. 1995 Extraction of virgin olive oil by two-phases continuous system. Influence of different variables of process on certain parameters related to oil quality. Grasas y Aceites, 4-5 (29), 299-303.
- Di Giovacchino, L., Sestilli, S.,Di Vicenzo, D. 2002 Influenze of olive processing on virgin olive oil quality. European Journal of Lipids Science and Technology, 104, 587-601.
- A.M. Linarejos-Garcia, A.M., Gomez-Rico, A., Salvador, M.D., Fregapane, G. 2009 Influence of maxalation conditions on virgin olive oil yield, overall quality and composition. European Food Research and Technology, 228, 112-120.
- Aguilera, M.P., Beltrán, G., Sanchez-Villasclaras, S., M. Uceda, Jiménez, A. 2010 Kneading olive paste from unripe ‘Picual’ fruits: I. Effect on oil process yield. Journal of food Engineering, 97, 533-538.
Index Terms
Keywords