Title :
Normalization as a Preprocessing Engine for Data Mining and the Approach of Preference Matrix
Author :
Al Shalabi, L. ; Shaaban, Zyad
Author_Institution :
Appl. Sci. Univ., Amman
Abstract :
This study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy, and tree growing time are three factors that were taken into account. Comparisons between different learning methods were accomplished as they were applied to each normalization method. A simple matrix was designed to check for the best normalization method based on the factors and their priorities. Recommendations were concluded
Keywords :
data mining; decision trees; matrix algebra; HSV data set; ID3 methodology; data mining; induction decision tree; learning method; normalization method; preference matrix; preprocessing engine; Classification algorithms; Clustering algorithms; Data analysis; Data mining; Databases; Decision trees; Engines; Nearest neighbor searches; Neural networks; Redundancy;
Conference_Titel :
Dependability of Computer Systems, 2006. DepCos-RELCOMEX '06. International Conference on
Conference_Location :
Szklarska Poreba
Print_ISBN :
0-7695-2565-2
DOI :
10.1109/DEPCOS-RELCOMEX.2006.38
