DP-Apriori: A differentially private frequent itemset mining algorithm based on transaction splitting

A new closed frequent itemset mining algorithm based on GPU and improved vertical structure

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.3904 ◽

2016 ◽

Vol 29 (6) ◽

pp. e3904 ◽

Cited By ~ 6

Author(s):

Yun Li ◽

Jie Xu ◽

Yun-Hao Yuan ◽

Ling Chen

Keyword(s):

Vertical Structure ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Mining Algorithm ◽

Closed Frequent Itemset

A False Negative Maximal Frequent Itemset Mining Algorithm over Stream

Advanced Data Mining and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25853-4_3 ◽

2011 ◽

pp. 29-41 ◽

Author(s):

Haifeng Li ◽

Ning Zhang

Keyword(s):

False Negative ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Data-based affinity analysis of power transformer defects with adaptive frequent itemset mining algorithm

2017 3rd IEEE International Conference on Computer and Communications (ICCC) ◽

10.1109/compcomm.2017.8323052 ◽

2017 ◽

Author(s):

Z. W. Zhang ◽

W. S. Gao ◽

W. X. Mo ◽

H. B. Wang ◽

L. Luan

Keyword(s):

Power Transformer ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data

Knowledge and Information Systems ◽

10.1007/s10115-020-01464-1 ◽

2020 ◽

Vol 62 (9) ◽

pp. 3565-3583 ◽

Author(s):

Shashi Raj ◽

Dharavath Ramesh ◽

M. Sreenu ◽

Krishan Kumar Sethi

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Mining Algorithm ◽

Transactional Data

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) ◽

ParallelCharMax: An Effective Maximal Frequent Itemset Mining Algorithm Based on MapReduce Framework

10.1109/aiccsa.2017.80 ◽

2017 ◽

Cited By ~ 1

Author(s):

Rania Mkhinini Gahar ◽

Olfa Arfaoui ◽

Minyar Sassi Hidri ◽

Nejib Ben Hadj-Alouane

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

Mapreduce Framework ◽

Itemset Mining ◽

A Heuristic Rule Based Approximate Frequent Itemset Mining Algorithm

Procedia Computer Science ◽

10.1016/j.procs.2016.07.087 ◽

2016 ◽

Vol 91 ◽

pp. 324-333 ◽

Author(s):

Haifeng Li ◽

Yuejin Zhang ◽

Ning Zhang ◽

Hengyue Jia

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

Heuristic Rule ◽

Rule Based ◽

Itemset Mining ◽

MapReduce based frequent itemset mining algorithm on stream data

2015 Global Conference on Communication Technologies (GCCT) ◽

10.1109/gcct.2015.7342732 ◽

2015 ◽

Author(s):

Hemant Chaudhary ◽

Deepak Kumar Yadav ◽

Rajat Bhatnagar ◽

Uddagiri Chandrasekhar

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

Stream Data ◽

Itemset Mining ◽

HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing

The Journal of Supercomputing ◽

10.1007/s11227-017-1963-4 ◽

2017 ◽

Vol 73 (8) ◽

pp. 3652-3668 ◽

Cited By ~ 24

Author(s):

Krishan Kumar Sethi ◽

Dharavath Ramesh

Keyword(s):

Big Data ◽

Data Processing ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

Big Data Processing ◽

Itemset Mining ◽

A Dynamic Sliding Window based Balanced Parallel Frequent Itemset Mining Algorithm in Data Stream

International Journal of Computer Applications ◽

10.5120/ijca2020920670 ◽

2020 ◽

Vol 175 (16) ◽

pp. 48-55

Author(s):

Zakria Mahrousa ◽

Dima Mufti Alchawafa ◽

Hasan Kazzaz

Keyword(s):

Data Stream ◽

Sliding Window ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Mining Algorithm ◽

Dynamic Sliding Window

PFIN: A Parallel Frequent Itemset Mining Algorithm Using Nodesets

International Journal of Database Theory and Application ◽

10.14257/ijdta.2016.9.6.08 ◽

2016 ◽

Vol 9 (6) ◽

pp. 81-92 ◽

Author(s):

Chen Lin ◽

Junzhong Gu

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽