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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
SF-Sketch: A Two-Stage Sketch for Data Streams
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 2263-2276
作者:
Liu, Lingtong
;
Shen, Yulong
;
Yan, Yibo
;
Yang, Tong
;
Shahzad, Muhammad
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/12/10
Distributed databases
Monitoring
Bars
Frequency measurement
Registers
Fats
Hash functions
Network measurements
sketch
distributed monitoring
multiset
frequent items
Parallel Incremental Frequent Itemset Mining for Large Data
期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2017, 卷号: 32, 期号: 2, 页码: 368-385
作者:
Song, Yu-Geng
;
Cui, Hui-Min
;
Feng, Xiao-Bing
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/12/12
incremental parallel FPGrowth
data mining
frequent itemset mining
MapReduce
Mining top-k co-occurrence items with sequential pattern
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2017
Tung Kieu
;
Bay Vo
;
Tuong Le
;
Deng, Zhi-Hong
;
Bac Le
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2017/12/03
Top-k mining
Co-occurrence sequential mining
Sequential pattern mining
FREQUENT PATTERNS
EFFICIENT
ALGORITHM
Tracking frequent items over distributed probabilistic data
期刊论文
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2016, 卷号: 19, 页码: 579-604
作者:
Tong, Yongxin
;
Zhang, Xiaofei
;
Chen, Lei
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Frequent itemsets
Distributed
Probabilistic data
A spatiotemporal mining framework for abnormal association patterns in marine environments with a time series of remote sensing images
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2015, 卷号: 38, 页码: 978-994
作者:
Xue, Cunjin
;
Song, Wanjiao
;
Qin, Lijuan
;
Dong, Qing
;
Wen, Xiaoyang
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2016/04/20
Marine association pattern
Spatiotemporal mining framework
Global change
Remote sensing
Pacific Ocean
Multiple User Characteristic Models for Online Survey based on FP-Tree Algorithm
会议论文
12th IEEE Int Conf Ubiquitous Intelligence & Comp/12th IEEE Int Conf Autonom & Trusted Comp/15th IEEE Int Conf Scalable Comp & Commun & Associated Workshops/IEEE Int Conf Cloud & Big Data Comp/IEEE Int Conf Internet People, 2015-08-10
作者:
Guo, Kaiqiang[1]
;
Wu, Shaochun[2]
;
Zou, Guobing[3]
;
Zhu, Honghao[4]
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/04/26
Online survey
FP-Tree
Frequent items
Association rules
User characteristics
Modeling and broadening temporal user interest in personalized news recommendation
期刊论文
http://dx.doi.org/10.1016/j.eswa.2013.11.020, 2014
Li, Lei
;
Zheng, Li
;
Yang, Fan
;
Li, Tao
;
杨帆
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  |  
浏览/下载:5/0
  |  
提交时间:2015/07/22
A Sampling Method of Finding Top-k Frequent Items on Timestamp-based Stream
会议论文
作者:
Li, Wenfeng
;
Wang, Liwei
;
Peng, Zhiyong
;
Li, Deyi
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
top-k frequent items
timestamp-based stream
multi-treap parallel priority algorithm
A sampling method of finding top-k frequent items on timestamp-based stream
期刊论文
Proceedings - 11th Web Information System and Application Conference, WISA 2014, 2014
作者:
Li, Wenfeng
;
Wang, Liwei
;
Peng, Zhiyong
;
Li, Deyi
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
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