Fuzzy Classification to Classify the Income Category Based On Entropy
The classification problem is one of the main issues in data mining because it aims to extract a classifier which can be used to predict the classes of objects whose class table are unknown. This paper deals with classifying the income database with the entropy based method for analyzing the income...
Main Authors: | Vaiyapuri Srinivasan, Rajenderan Govind, Vandar Kuzhali Jagannathan, Aruna Murugesan |
---|---|
Format: | Article |
Language: | English |
Published: |
Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2011-10-01
|
Series: | Journal of Computer Science and Technology |
Subjects: | |
Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/672 |
Similar Items
-
Improvement of ID3 Algorithm Based on Simplified Information Entropy and Coordination Degree
by: Yingying Wang, et al.
Published: (2017-11-01) -
A New Algorithm for Optimization of Fuzzy Decision Tree in Data Mining
by: Abolfazl Kazemi, et al.
Published: (2011-01-01) -
Entropy and Semi-Entropies of LR Fuzzy Numbers’ Linear Function with Applications to Fuzzy Programming
by: Jian Zhou, et al.
Published: (2019-07-01) -
Entropy of Fuzzy Partitions and Entropy of Fuzzy Dynamical Systems
by: Dagmar Markechová, et al.
Published: (2016-01-01) -
PERFORMANCE EVALUATION OF C-FUZZY DECISION TREE BASED IDS WITH DIFFERENT DISTANCE MEASURES
by: Vinayak Mantoor, et al.
Published: (2012-01-01)