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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
LPPM UPI YPTK
2016
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| Subjects: | |
| 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 |
| Summary: | 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. |
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