Classification of Different Wheat Varieties by Using Data Mining Algorithms
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2016, Vol 4, Issue 2
Abstract
There are various applications using computer-aided quality controlling system. In this study, seed data set acquired from UCI machine learning database was used. The purpose of the study is to perform the operations for separation of seed species from each other in the seed data set. Three different seed whose data was acquired from the UCI machine learning database was used. Later it was classified by applying the methods of KNN, Naive Bayes, J48 and multilayer perceptron to the dataset. While wheat seed data received from the UCI machine learning database was classified, WEKA program was used. Depending on the number of neurons the highest classification success came in 7-layer neurons. Our success rate for the number of 7-layer neurons came to 97.17% When the classification success rate was calculated according to KNN for the values of different neighbour, the highest success rate for neighbour was set at 95.71% for 4. Neighbour. With this method, classification of seeds depending on their properties was provided more quickly and effectively.
Authors and Affiliations
Kadir Sabanci*| Karamanoglu Mehmetbey University, Faculty of Engineering Department of Electrical and Electronics Engineering, Karaman, Turkey, Mustafa Akkaya| KMU, Faculty of Engineering Department of Energy Systems Engineering, Karaman,Turkey
Keywords
Related Articles
- EP ID EP797
- DOI 10.18201/ijisae.62843
- Views 413
- Downloads 23
SLAM – Map Building and Navigation via ROS#
The presented work describes a ROS based control system of a Turtlebot robot for mapping and navigation in indoor environments. It presents the navigation of Turtlebot in self-created environment. The mapping process is...
Grade prediction improved by regular and maximal association rules
In this paper we propose a method of predicting student scholar performance using the power of regular and maximal association rules. Due to the large number of generated rules, traditional data mining algorithms can bec...
Editorial Team
Epileptic State Detection: Pre-ictal, Inter-ictal, Ictal
Epileptic seizure detection and prediction from electroencephalography (EEG) is a vital area of research. In this study, Second-Order Difference Plot (SODP) is used to extract features based on consecutive difference of...
Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP
One of the recommended preventive plans against the wide area disturbances is WAP, Wide Area Protection, through controlled system splitting or separation. In this paper, authors are proposing three simple algorithms tha...