Closed frequent itemsets mining over data streams for visualizing network traffic

2015 ◽  
Author(s):  
M. Jeyasutha ◽  
F. Ramesh Dhanaseelan
Keyword(s):  
Data Streams ◽  
Network Traffic ◽  
Frequent Itemsets ◽  
Closed Frequent Itemsets ◽  
Frequent Itemsets Mining

Using hashing and lexicographic order for Frequent Itemsets Mining on data streams

2019 ◽  
Vol 125 ◽  
pp. 58-71 ◽  
Author(s):  
Lázaro Bustio-Martínez ◽  
Martín Letras-Luna ◽  
René Cumplido ◽  
Raudel Hernández-León ◽  
Claudia Feregrino-Uribe ◽  
...  
Keyword(s):  
Data Streams ◽  
Lexicographic Order ◽  
Frequent Itemsets ◽  
Frequent Itemsets Mining

Efficient Data Streams Based Closed Frequent Itemsets Mining Algorithm

2012 ◽  
Vol 256-259 ◽  
pp. 2910-2913
Author(s):  
Jun Tan
Keyword(s):  
Data Streams ◽  
Sliding Window ◽  
Frequent Itemsets ◽  
Streaming Data ◽  
Efficient Data ◽  
Closed Itemsets ◽  
Frequent Itemsets Mining ◽  
Synthetic Datasets ◽  
Online Mining ◽  
Mining Data Streams

Online mining of frequent closed itemsets over streaming data is one of the most important issues in mining data streams. In this paper, we proposed a novel sliding window based algorithm. The algorithm exploits lattice properties to limit the search to frequent close itemsets which share at least one item with the new transaction. Experiments results on synthetic datasets show that our proposed algorithm is both time and space efficient.

scholarly journals New Algorithm for Frequent Itemsets Mining from Evidential Data Streams

2016 ◽  
Vol 96 ◽  
pp. 645-653 ◽  
Author(s):  
Amine Farhat ◽  
Mohamed Salah Gouider ◽  
Lamjed Ben Said
Keyword(s):  
Data Streams ◽  
Frequent Itemsets ◽  
Frequent Itemsets Mining
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