Using rough set through for classification of image segmentation data
Knowledge Discovery in Database (KDD) can be defined as a technology or a process that helps to extract valuable information including hidden and unseen patterns, trends and relationships between variables from a large amount of data. The information learnt and the discovery made can help in applyin...
Saved in:
Main Author: | Diallo Abdoulaye, Kindy |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/48667/1/DialloAbdoulayeKindyMAIS2014.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Customer churn classification in telecommunication company using rough set theory
by: Nur Syafiqah, Mohd Nafis
Published: (2016) -
Rough set approach for categorical data clustering
by: Herawan, Tutut
Published: (2010) -
Feature selection for traditional Malay musical instrument sound classification using rough set
by: Senan, Norhalina
Published: (2013) -
Segmentation Of Ultisequence Medical Images Using Random Walks Algorithm And Rough Sets Theory
by: Lim, Khai Yin
Published: (2017) -
Logistic regression methods for classification of imbalanced data sets
by: Santi Puteri Rahayu, -
Published: (2012)