COMPARISON WITH CLASSIFICATION ALGORITHMS IN DATA MINING OF A FUEL AUTOMATION SYSTEMS SALES DATA

http://dx.doi.org/10.31703/ger.2020(V-I).20      10.31703/ger.2020(V-I).20      Published : Mar 2020
Authored by : Ilhan Tarimer , Buse Cennet Karadag

20 Pages : 245-254

References

  • Aha D.W., Kibler, D., Albert M.K., (1991). Instance-based learning algorithms. Mach Learn 6, 37-66,
  • Akgöbek, Ö., Cakir, F. (2009). An Expert System Design in Data Mining. Academic Informatics'09, XI. Academic Informatics Conference Papers, 809-813.
  • Bircan, H. (2004). Logistic Regression Analysis: An Application on Medical Data. Kocaeli University. Journal of Social Sciences, (8), 185-208.
  • Dener, M., Dörterler, M. Orman, A. (2009). Open Source Data Mining Programs: Sample Application in WEKA. Academic Informatics '09 - XI. Academic Informatics Conference Papers, 787-796.
  • Güldal, H., Cakici, Y., (2017). Analysis of Course Management System Software Users' Interactions Using Classification Algorithms, 21(4), pp. 1355-1367).
  • Kaya E., O. Fındık, Babaoglu Ä°., Arslan A. (2011). Effect of Discretization Method on the Diagnosis of Parkinson's Disease. International Journal of Innovative Computing, Information and Control, 7(8), 4669-4678
  • Kolahkaj M., Khalilian M., (2015). A recommender system by using classification based on frequent pattern mining and J48 algorithm. 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), Tehran, pp. 780-786.
  • Kücükönder H., Vursavus K.K., Üçkardes F., (2015). Determining the Effect of Some Mechanical Properties on Color Maturity of Tomato with K-Star, Random Forest and Decision Tree (C4.5) Classification Algorithms. Turkish Journal of Agriculture - Food Science and Technology, 3(5), 300.
  • Paquin F., Rivnay J., Salleo A., Stingelin, N., Silva C., (2015). Multi-phase semicrystalline microstructures drive exciton dissociation in neat plastic semiconductors. Journal of Mater. Chem. C, 3, 10715-10722.
  • Pradeep K. R., Naveen N. C., (2016). Predictive analysis of diabetes using J48 algorithm of classification techniques. 2nd International Conference on Contemporary Computing and Informatics (IC3I), Noida, pp. 347-352.
  • Quinlan J. R., (1994). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers Inc.
  • Silahtaroglu, G., Data Mining. (2016). Papatya Publishing House, Istanbul / Turkey
  • Tarımer, Ä°., & Karadag, B. C. (2020). A Data Mining Case Study Over Fuel Sales Automation Data. Bilecik Şeyh Edebali University Journal of Science, 7(1), 282- 296.

Cite this article

APA

    APA : Tarimer, I., & Karadag, B. C. (2020). Comparison with Classification Algorithms in Data Mining of a Fuel Automation System's Sales Data. Global Economics Review, V(I), 245-254. https://doi.org/10.31703/ger.2020(V-I).20

CHICAGO

    CHICAGO : Tarimer, Ilhan, and Buse Cennet Karadag. 2020. "Comparison with Classification Algorithms in Data Mining of a Fuel Automation System's Sales Data." Global Economics Review, V (I): 245-254 doi: 10.31703/ger.2020(V-I).20

HARVARD

    HARVARD : TARIMER, I. & KARADAG, B. C. 2020. Comparison with Classification Algorithms in Data Mining of a Fuel Automation System's Sales Data. Global Economics Review, V, 245-254.

MHRA

    MHRA : Tarimer, Ilhan, and Buse Cennet Karadag. 2020. "Comparison with Classification Algorithms in Data Mining of a Fuel Automation System's Sales Data." Global Economics Review, V: 245-254

MLA

    MLA : Tarimer, Ilhan, and Buse Cennet Karadag. "Comparison with Classification Algorithms in Data Mining of a Fuel Automation System's Sales Data." Global Economics Review, V.I (2020): 245-254 Print.

OXFORD

    OXFORD : Tarimer, Ilhan and Karadag, Buse Cennet (2020), "Comparison with Classification Algorithms in Data Mining of a Fuel Automation System's Sales Data", Global Economics Review, V (I), 245-254

TURABIAN

    TURABIAN : Tarimer, Ilhan, and Buse Cennet Karadag. "Comparison with Classification Algorithms in Data Mining of a Fuel Automation System's Sales Data." Global Economics Review V, no. I (2020): 245-254. https://doi.org/10.31703/ger.2020(V-I).20