A Data Warehouse Cleansing Approach Based on Mathematical Association Rules
2012 ◽
Vol 490-495
◽
pp. 1878-1882
Keyword(s):
The alliance rules stated above based on the principle of data mining association rules provide a solution for detecting errors in the data sets. The errors are detected automatically. The manual intervention in the proposed algorithm is highly negligible resulting in high degree of automation and accuracy. The duplicity in the names field of the data warehouse has been remarkably cleansed and worked out. Domain independency has been achieved using the concept of integer domain which even adds on to the memory saving capability of the algorithm.
2021 ◽
pp. 46-53
Keyword(s):
Keyword(s):
2011 ◽
pp. 2117-2122
Keyword(s):
2011 ◽
pp. 209-226
Keyword(s):
2010 ◽
Vol 108-111
◽
pp. 50-56
◽
2012 ◽
Vol 479-481
◽
pp. 129-132
2013 ◽
Vol 321-324
◽
pp. 2578-2582