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Mining High Occupancy Itemsets From Transaction Databases
(2021)
Frequent itemset (FI) mining has been widely studied in data mining over current many
years because of its vital role in applications. Nevertheless, the most traditional mining
framework in preceding research does not ...
Study K-NN Based Classifier To Overcome The Negative Effect Of Outliers
(2021)
This thesis studies the k-NN based classifier to overcome the negative effect of the
outliers. Sometimes data sets always exist values that are out of range and different from
the rest, these values are often called ...
Discovering High Utility Itemsets At Multiple Abstraction Levels
(2021)
The objective of the high-utility itemset mining task is to figure out the item or the
combination of items which achieve the high profits from the database. The proposed algorithm
named HUIM is considered as a advantageous ...
Minging Of Skyline Patterns By Considering Both Frequent And Utility Constraints
(2021)
Mining frequent itemsets (FIM) are the task to find the itemsets that are frequently occurrence in
a customer transaction database. However, FIM ignores the weight, interestingness or unit profit
of the items. To unveil ...