A multidimensional data descriptor tool based on fuzzy min max neural network algorithm

The purpose of this project is to introduce different techniques and methods that have been used before to analyze the data. The main objective is to build an data analytic tool for a multidimensional dataset. In this project, the technique that will be used is Fuzzy Min Max method. By using this me...

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Main Author:	Fatin Nurjannah, Salauddin
Format:	Undergraduates Project Papers
Language:	English
Published:	2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/26778/ http://umpir.ump.edu.my/id/eprint/26778/ http://umpir.ump.edu.my/id/eprint/26778/1/A%20multidimensional%20data%20descriptor%20tool%20based%20on%20fuzzy%20min%20max%20neural%20network.pdf

id	ump-26778
recordtype	eprints
spelling	ump-267782019-12-10T01:56:58Z http://umpir.ump.edu.my/id/eprint/26778/ A multidimensional data descriptor tool based on fuzzy min max neural network algorithm Fatin Nurjannah, Salauddin QA75 Electronic computers. Computer science The purpose of this project is to introduce different techniques and methods that have been used before to analyze the data. The main objective is to build an data analytic tool for a multidimensional dataset. In this project, the technique that will be used is Fuzzy Min Max method. By using this method, the data visualization will displaying the minimum and maximum value in range of zero to one. In this project, it will be compare a few techniques and determine which techniques is the most suitable. The techniques is in the Neural Network which has a few popular techniques such as K-Nearest Neighbour Fuzzy Min Max, general Reflex Fuzzy Min Max to get some idea of methodologies, algorithm, techniques and concept of the whole existing project and research study. Besides that, in this paper, it will also compare three existing system such as Tableau Public, Qlikview and IBM InfoSphere Streams. They have been compare for their advantages and disadvantages. The implementation of Fuzzy Min Max Neural Network technique has been applied using Matlab Programming. Therefore, in this project, it will explain more about why I am using the Fuzzy Min Max method rather than other methods. 2018-05 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26778/1/A%20multidimensional%20data%20descriptor%20tool%20based%20on%20fuzzy%20min%20max%20neural%20network.pdf Fatin Nurjannah, Salauddin (2018) A multidimensional data descriptor tool based on fuzzy min max neural network algorithm. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Fatin Nurjannah, Salauddin A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
description	The purpose of this project is to introduce different techniques and methods that have been used before to analyze the data. The main objective is to build an data analytic tool for a multidimensional dataset. In this project, the technique that will be used is Fuzzy Min Max method. By using this method, the data visualization will displaying the minimum and maximum value in range of zero to one. In this project, it will be compare a few techniques and determine which techniques is the most suitable. The techniques is in the Neural Network which has a few popular techniques such as K-Nearest Neighbour Fuzzy Min Max, general Reflex Fuzzy Min Max to get some idea of methodologies, algorithm, techniques and concept of the whole existing project and research study. Besides that, in this paper, it will also compare three existing system such as Tableau Public, Qlikview and IBM InfoSphere Streams. They have been compare for their advantages and disadvantages. The implementation of Fuzzy Min Max Neural Network technique has been applied using Matlab Programming. Therefore, in this project, it will explain more about why I am using the Fuzzy Min Max method rather than other methods.
format	Undergraduates Project Papers
author	Fatin Nurjannah, Salauddin
author_facet	Fatin Nurjannah, Salauddin
author_sort	Fatin Nurjannah, Salauddin
title	A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
title_short	A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
title_full	A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
title_fullStr	A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
title_full_unstemmed	A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
title_sort	multidimensional data descriptor tool based on fuzzy min max neural network algorithm
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/26778/ http://umpir.ump.edu.my/id/eprint/26778/ http://umpir.ump.edu.my/id/eprint/26778/1/A%20multidimensional%20data%20descriptor%20tool%20based%20on%20fuzzy%20min%20max%20neural%20network.pdf
first_indexed	2023-09-18T22:41:54Z
last_indexed	2023-09-18T22:41:54Z
_version_	1777416970956701696

A multidimensional data descriptor tool based on fuzzy min max neural network algorithm

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