Parallel Incremental Frequent Itemset Mining for Large Data......... Yu-Geng Song, Hui-Min Cui, and Xiao-Bing Feng (368) A New Feistel-Type White-Box Encryption …
X Zhang, JH Tao, XY Chen, BR Wang… - Journal of …, 2017 - search.proquest.com
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY Volume 32, 2017 CONTENTS
Page 1 2017 Contents. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 32(6) …
Page 1 2017 Contents. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 32(6) …
IFIN+: A Parallel Incremental Frequent Itemsets Mining in Shared-Memory Environment
In an effort to increase throughput for IFIN, a frequent itemsets mining algorithm, in this paper
we introduce a solution, called IFIN+, for parallelizing the algorithm IFIN with shared-memory …
we introduce a solution, called IFIN+, for parallelizing the algorithm IFIN with shared-memory …
A Parallel Incremental Frequent Itemsets Mining IFIN+: Improvement and Extensive Evaluation
In this paper, we propose a shared-memory parallelization solution for the Frequent Itemsets
Mining algorithm IFIN, called IFIN+. The motivation for our work is that commodity …
Mining algorithm IFIN, called IFIN+. The motivation for our work is that commodity …
Advances in frequent itemset mining implementations: report on FIMI'03
B Goethals, MJ Zaki - Acm Sigkdd Explorations Newsletter, 2004 - dl.acm.org
1.1 FIMI Repository & 5!!%(1$# S't Fn y% X 2d%(k 24% $'$# mg hiHqp 4%(1 1iYs 2d% $ eR
2d%(1 l 24 5& E%('u (%(1% 9uR (# hq%(1 24'b Fh &'(# SE% $''t%(E% $24 w 24 t% $'qk'G …
2d%(1 l 24 5& E%('u (%(1% 9uR (# hq%(1 24'b Fh &'(# SE% $''t%(E% $24 w 24 t% $'qk'G …
A distributed frequent itemsets mining algorithm using sparse boolean matrix on spark
Y Luo, Z Yang, H Shi, Y Zhang - … and Applications: 18th Asia-Pacific Web …, 2016 - Springer
Frequent itemsets mining is one of the most important aspects in data mining for finding
interesting knowledge in a huge mass of data. However, traditional frequent itemsets mining …
interesting knowledge in a huge mass of data. However, traditional frequent itemsets mining …
[PDF][PDF] Frequent Itemset Mining Over Stream Data: Overview
J Deng, C McArdle, X Wang - Citeseer
2School of Computer & Software, Nanjing University of Information Science & Technology,
Nanjing, China, 210044 3School of Electronic Engineering, Dublin City University, Dublin …
Nanjing, China, 210044 3School of Electronic Engineering, Dublin City University, Dublin …
HBPFP-DC: A parallel frequent itemset mining using Spark
Y Xun, J Zhang, H Yang, X Qin - Parallel Computing, 2021 - Elsevier
The frequent itemset mining (FIM) is one of the most important techniques to extract
knowledge from data in many real-world applications. Facing big data applications, parallel …
knowledge from data in many real-world applications. Facing big data applications, parallel …
Higher Performance IPPC+ Tree for Parallel Incremental Frequent Itemsets Mining
VQP Huynh, J Küng - Future Data and Security Engineering: 5th …, 2018 - Springer
IPPC tree provides incremental properties and high performance for mining frequent
itemsets through shared-memory parallel algorithm IFIN+. However, in the case of datasets …
itemsets through shared-memory parallel algorithm IFIN+. However, in the case of datasets …
[引用][C] P-BBA: A MASTER/SLAVE PARALLEL BINARY-BASED ALGORITHM FORMINING FREQUENT ITEMSETS IN LARGE-SCALE DATASETS
AN AMIR - 2021 - utpedia.utp.edu.my
P-BBA: A MASTER/SLAVE PARALLEL BINARY-BASED ALGORITHM FORMINING
FREQUENT ITEMSETS IN LARGE-SCALE DATASETS - UTP Electronic and Digital …
FREQUENT ITEMSETS IN LARGE-SCALE DATASETS - UTP Electronic and Digital …
[PDF][PDF] An Efficient Distributed Frequent Itemset Mining Algorithm Based on Spark for Big Data.
Y Rochd, I Hafidi - International Journal of Intelligent Engineering & …, 2019 - inass.org
Frequent item exploration is a fundamental element in many data mining problems aimed at
finding interesting models in the data. Recently, the PrePost algorithm, a new algorithm for …
finding interesting models in the data. Recently, the PrePost algorithm, a new algorithm for …