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TKFIM: Top-K frequent itemset mining technique based on equivalence classes
期刊论文
PEERJ COMPUTER SCIENCE, 2021, 页码: 27
作者:
Iqbal, Saood
;
Shahid, Abdul
;
Roman, Muhammad
;
Khan, Zahid
;
Al-Otaibi, Shaha
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/12/01
Frequent Itemsets
Support Threshold
Algorithm Analysis
Top-k Frequent Itemsets
Artifical Intelligence
COOC: Visual Exploration of Co-Occurrence Mobility Patterns in Urban Scenarios
期刊论文
IEEE Transactions on Computational Social Systems, 2019, 卷号: 6, 页码: 403-413
作者:
Kong, Xiangjie
;
Li, Menglin
;
Zhao, Gaoxing
;
Zhang, Huijie
;
Xia, Feng
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/12/02
Data mining
Flow visualization
Visualization, Co-occurrence pattern
Frequent itemsets minings
Human mobility
Intrinsic features
Social activities
Spatio-temporal data
Visual exploration
Visualization system, Data visualization
Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data
期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 28877-28889
作者:
Xiong, Xinyu
;
Chen, Fei
;
Huang, Peizhi
;
Tian, Miaomiao
;
Hu, Xiaofang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/26
transaction truncation
sampling
Frequent itemsets mining
string matching
differential privacy
Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data
期刊论文
IEEE Access, 2018, 卷号: Vol.6, 页码: 28877-28889
作者:
Jing Qin
;
Peizhi Huang
;
Xiaofang Hu
;
Miaomiao Tian
;
Fei Chen
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/04/22
Itemsets
Privacy
Sensitivity
Electronic
mail
Frequent
itemsets
mining
differential
privacy
sampling
transaction
truncation
string
matching
Top-k high average-utility itemsets mining with effective pruning strategies
期刊论文
APPLIED INTELLIGENCE, 2018, 卷号: Vol.48 No.10, 页码: 3429-3445
作者:
Wu, Ronghui
;
He, Zhan
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/26
High average-utility itemsets mining
Top-k mining
List struct
Data mining
A novel approach for mining maximal frequent patterns
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2017
Bay Vo
;
Sang Pham
;
Tuong Le
;
Deng, Zhi-Hong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/12/03
Data mining
Pattern mining
Maximal frequent patterns
N-list structure
Pruning technique
EFFICIENT ALGORITHM
NC-SETS
ITEMSETS
LISTS
Congestion Prediction for Urban Areas by Spatiotemporal Data Mining
会议论文
2017 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY (CYBERC), 2017-01-01
作者:
Wang, LiHua
;
Zhou, Zijun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
congestion prediction
association rule mining
frequent itemsets
congestion propagation rule
DiffNodesets: An efficient structure for fast mining frequent itemsets
期刊论文
APPLIED SOFT COMPUTING, 2016
Deng, Zhi-Hong
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2017/12/03
Data mining
Frequent itemset mining
DiffNodesets
Algorithm
Performance
ERASABLE ITEMSETS
ALGORITHM
PATTERNS
LISTS
TREE
Revisiting bound estimation of pattern measures: A generic framework
期刊论文
Information Sciences, 2016, 卷号: Vol.339, 页码: 254-273
作者:
Luo,Ping
;
Chen,Enhong
;
Zhang,Lei
;
Wang,Min
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/22
EFFICIENT ALGORITHM
FREQUENT ITEMSETS
CONSTRAINT
DATABASES
DISCOVERY
SCHEMA
The Research and Improvement Based on FP-Growth Data Mining Algorithm
会议论文
PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION TECHNOLOGIES AND APPLICATIONS (MSOTA2016), 2016-01-01
作者:
Yao, Quanzhu
;
Gao, Xingxing
;
Lei, Xueli
;
Zhang, Tong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/20
FP-Growth algorithm
data mining
frequent itemsets
FP-tree
ENFP-growth algorithm
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