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  1. University of Computer Studies, Yangon
  2. Conferences

Detection and Elimination of Duplicate Data using Smart Token-based Method for Airline Ticket Reservation System

http://hdl.handle.net/20.500.12678/0000003409
http://hdl.handle.net/20.500.12678/0000003409
839c402f-0336-444c-aa52-ab5a6c714532
67257d83-5b06-47ea-9c5a-1e08872ba33b
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psc2010paper psc2010paper (220).pdf (318 Kb)
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Article
Upload type
Publication
Title
Title Detection and Elimination of Duplicate Data using Smart Token-based Method for Airline Ticket Reservation System
Language en
Publication date 2010-12-16
Authors
San, Hsu Mon Mon
Thwin, Khin Lay
Description
Data Cleaning is a process for determining whether two or more records defined differently in a database, actually represent the same real world object. During data cleaning, multiple records representing the same real life object are identified, assigned only one unique database identification, and only one copy of exact duplicate records is retained. Token formation algorithm will be efficient in handling the noisy data by expanding abbreviation, removing unimportant characters and eliminating duplicates. Attribute selection algorithm is used for the attribute selecting before the token formatting. This algorithm and token formation algorithm is used for data cleaning to reduce a complexity of data cleaning process and to clean data flexibly and effortlessly without any confusion. This paper uses smart token to increase the speed of the cleaning process and improve the quality of the data.
Keywords
Data Cleaning, Attribute selection, smart token
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1163
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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