A Practical Comparison on GIS Data of Two Data Mining Algorithms
Dana Mihai, Mihai Lucian Mocanu · 2018 2nd European Conference on Electrical Engineering and Computer Science (EECS) · 2018
This work explores the effectiveness of data mining classification techniques, their advantages and disadvantages. Classification is the largest of the applications, consisting in building models to predict belonging to a set of classes. In this study we compared using Weka tool two of the most known data mining algorithms on a collection of Geographic Information System (GIS), data called Cadastre which consist of a parcel plan from the Dolj area of Romania. From the performed experiments, results that the K-nearest neighbor algorithm works better that the Naïve Bayes algorithm in terms of accuracy.