Search Result

1

Improved Apriori algorithm based on binary encoding

基于二进制编码的Apriori改进算法

Hu Shichang

Li Jinhua

Wang Changying

frequent itemsets

set operations

binary

Apriori

No. 2, 2020 : 398-400,423 doi:10.19734/j.issn.1001-3695.2018.07.0519

2

Fast mining algorithm for frequent and high utility itemsets with multiple minimum utility thresholds

多最小效用阈值的频繁高效用项集快速挖掘算法

Wang Bin

Lyu Ruirui

Fang Xinxiu

Ma Junjie

frequent itemsets

high utility itemsets

support

multiple minimum utility thresholds

No. 12, 2019 : 3623-3627 doi:10.19734/j.issn.1001-3695.2018.06.0403

3

Incremental updating algorithm of parallel frequent itemsets based on FIUT

基于FIUT的并行频繁项集增量更新算法

Zhang Hang

Zhang Xin

Zhang Pingkang

Li Qi

big data

frequent itemsets

MapReduce

incremental updating

frequent items ultrametric trees

No. 7, 2019 : 1991-1993 doi:10.19734/j.issn.1001-3695.2017.12.0854

4

Maximal frequent itemset mining algorithm based on B-list

基于B-list的最大频繁项集挖掘算法

Zhang Chang

Wen Kai

Zheng Yunjun

maximal frequent itemsets mining

depth-first search

pruning techniques

superset detection

No. 2, 2019 : 351-354 doi:10.19734/j.issn.1001-3695.2017.08.0873

Search frequent itemsets

Searchfrequent itemsetsreturned 4 results

Improved Apriori algorithm based on binary encoding

Fast mining algorithm for frequent and high utility itemsets with multiple minimum utility thresholds

Incremental updating algorithm of parallel frequent itemsets based on FIUT

Maximal frequent itemset mining algorithm based on B-list