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Application of Materialized View in Incremental Data Mining Operation
Author(s) -
Debabrata Datta,
Kashi Nath Dey
Publication year - 2017
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2017.06.06
Subject(s) - materialized view , computer science , data warehouse , data mining , process (computing) , set (abstract data type) , object (grammar) , database , information retrieval , online analytical processing , view , database design , artificial intelligence , programming language
Materialized view is a database object used to store the results of a query set. It is used to avoid the costly processing time that is required to execute complex queries involving aggregation and join operations. Materialized view may be associated with the operations of a data warehouse. Data mining is a technique to extract knowledge from a data warehouse and the incremental data mining is another process that periodically updates the knowledge that has been already identified by a data mining process. This happens when a new set of data gets added with the existing set. This paper proposes a method to apply the materialized view in incremental data mining.

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