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

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dc.contributor.author San, Hsu Mon Mon
dc.contributor.author Thwin, Khin Lay
dc.date.accessioned 2019-07-22T07:53:52Z
dc.date.available 2019-07-22T07:53:52Z
dc.date.issued 2010-12-16
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1163
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Fifth Local Conference on Parallel and Soft Computing en_US
dc.subject Data Cleaning en_US
dc.subject Attribute selection en_US
dc.subject smart token en_US
dc.title Detection and Elimination of Duplicate Data using Smart Token-based Method for Airline Ticket Reservation System en_US
dc.type Article en_US


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