Browsing by Subject "Data"
Now showing items 1-5 of 5
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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 ... -
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 ... -
Mining the feature of electronic products from the Amazon data for predicting electronics ratings using Weka
(International University - HCMC, 2020)In recent years, Big Data is a global trend not just in IT field but also in other specialties, especially in the 21st century. For example, all the e-commerce websites in the world are having enormous visits from clients ... -
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 ...