Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm

The way that email has extraordinary significance in present day business communication is certain. Consistently, a bulk of emails is sent from organizations to clients and suppliers, from representatives to their managers and starting with one colleague then onto the next. In this way there is vast...

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Main Authors:	Arif, Hanafi, Sulaiman, Harun, Enggari, Sofika, Rani, Larissa Navia
Format:	Article
Language:	English English
Published:	LPPM UPI YPTK 2016
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/11101/ http://umpir.ump.edu.my/id/eprint/11101/ http://umpir.ump.edu.my/id/eprint/11101/1/Detecting%20Duplicate%20Entry%20in%20Email%20Field%20using%20Alliance%20Rules-based%20Algorithm.pdf http://umpir.ump.edu.my/id/eprint/11101/7/fskkp-2016-arif-Detecting%20Duplicate%20Entry%20in%20Email%20Field1.pdf

id	ump-11101
recordtype	eprints
spelling	ump-111012016-07-22T02:55:18Z http://umpir.ump.edu.my/id/eprint/11101/ Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm Arif, Hanafi Sulaiman, Harun Enggari, Sofika Rani, Larissa Navia QA76 Computer software The way that email has extraordinary significance in present day business communication is certain. Consistently, a bulk of emails is sent from organizations to clients and suppliers, from representatives to their managers and starting with one colleague then onto the next. In this way there is vast of email in data warehouse. Data cleaning is an activity performed on the data sets of data warehouse to upgrade and keep up the quality and consistency of the data. This paper underlines the issues related with dirty data, detection of duplicatein email column. The paper identifies the strategy of data cleaning from adifferent point of view. It provides an algorithm to the discovery of error and duplicates entries in the data sets of existing data warehouse. The paper characterizes the alliance rules based on the concept of mathematical association rules to determine the duplicate entries in email column in data sets. LPPM UPI YPTK 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11101/1/Detecting%20Duplicate%20Entry%20in%20Email%20Field%20using%20Alliance%20Rules-based%20Algorithm.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11101/7/fskkp-2016-arif-Detecting%20Duplicate%20Entry%20in%20Email%20Field1.pdf Arif, Hanafi and Sulaiman, Harun and Enggari, Sofika and Rani, Larissa Navia (2016) Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm. Journal of Computer Science and Information Technology, 1 (1). pp. 71-81. http://jcsit.upiyptk.ac.id/index.php/jcsit/article/view/39
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Arif, Hanafi Sulaiman, Harun Enggari, Sofika Rani, Larissa Navia Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm
description	The way that email has extraordinary significance in present day business communication is certain. Consistently, a bulk of emails is sent from organizations to clients and suppliers, from representatives to their managers and starting with one colleague then onto the next. In this way there is vast of email in data warehouse. Data cleaning is an activity performed on the data sets of data warehouse to upgrade and keep up the quality and consistency of the data. This paper underlines the issues related with dirty data, detection of duplicatein email column. The paper identifies the strategy of data cleaning from adifferent point of view. It provides an algorithm to the discovery of error and duplicates entries in the data sets of existing data warehouse. The paper characterizes the alliance rules based on the concept of mathematical association rules to determine the duplicate entries in email column in data sets.
format	Article
author	Arif, Hanafi Sulaiman, Harun Enggari, Sofika Rani, Larissa Navia
author_facet	Arif, Hanafi Sulaiman, Harun Enggari, Sofika Rani, Larissa Navia
author_sort	Arif, Hanafi
title	Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm
title_short	Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm
title_full	Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm
title_fullStr	Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm
title_full_unstemmed	Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm
title_sort	detecting duplicate entry in email field using alliance rules-based algorithm
publisher	LPPM UPI YPTK
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/11101/ http://umpir.ump.edu.my/id/eprint/11101/ http://umpir.ump.edu.my/id/eprint/11101/1/Detecting%20Duplicate%20Entry%20in%20Email%20Field%20using%20Alliance%20Rules-based%20Algorithm.pdf http://umpir.ump.edu.my/id/eprint/11101/7/fskkp-2016-arif-Detecting%20Duplicate%20Entry%20in%20Email%20Field1.pdf
first_indexed	2023-09-18T22:11:30Z
last_indexed	2023-09-18T22:11:30Z
_version_	1777415057710252032

Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm

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