scholarly journals CLOLINK: An Adapted Algorithm for Mining Closed Frequent Itemsets

2012 ◽  
Vol 20 (4) ◽  
pp. 265
Author(s):  
Adebukola Onashoga
Keyword(s):  
Frequent Itemsets ◽  
Closed Frequent Itemsets

Improved BVBUC Algorithm to Discover Closed Itemsets in Long Biological Datasets

2019 ◽  
Vol 892 ◽  
pp. 157-167
Author(s):  
Fatimah Audah Md Zaki ◽  
Nurul Fariza Zulkurnain
Keyword(s):  
Frequent Itemsets ◽  
Suitable Method ◽  
Closed Frequent Itemsets ◽  
Closed Itemsets ◽  
Synthetic Datasets

The task in mining closed frequent itemsets requires the algorithm to mine the frequent ones then determine its closure. The efficiency of closure computation is very important as it will determine the total mining time and the required memory. Over the years, many closure computation methods have been proposed to achieve these goals. However, to the best of our knowledge, there is no suitable method that can be adapted for algorithms that enumerate the rowset lattice, which is effective for biological datasets. Therefore, this paper proposed a method for computing closure compare with the method used in BVBUC algorithm method. Finally, BVBUC_I is proposed and the performances of these algorithms were evaluated using two synthetic datasets and three real datasets. The results of these tests proved the efficiency of the proposed method.

Maximal and closed frequent itemsets mining from uncertain database and data stream

2019 ◽  
Vol 4 (3) ◽  
pp. 237
Author(s):  
Maliha Momtaz ◽  
Abu Ahmed Ferdaus ◽  
Chowdhury Farhan Ahmed ◽  
Mohammad Samiullah
Keyword(s):  
Data Stream ◽  
Frequent Itemsets ◽  
Closed Frequent Itemsets ◽  
Frequent Itemsets Mining ◽  
Uncertain Database
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