Closed Frequent Itemset Mining with Arbitrary Side Constraints

2018 IEEE International Conference on Data Mining Workshops (ICDMW) ◽

10.1109/icdmw.2018.00175 ◽

2018 ◽

Author(s):

Gokberk Kocak ◽

Ozgur Akgun ◽

Ian Miguel ◽

Peter Nightingale

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Side Constraints ◽

Closed Frequent Itemset

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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 ◽

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

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A Completeness on an Online ϵ-Approximation Algorithm for Closed Frequent Itemset Mining in a Transactional Stream

Transactions of the Japanese Society for Artificial Intelligence ◽

10.1527/tjsai.b-g52 ◽

2016 ◽

Vol 31 (5) ◽

pp. B-G52_1-10

Author(s):

Koji Iwanuma ◽

Yoshitaka Yamamoto ◽

Shoshi Fukuda

Keyword(s):

Approximation Algorithm ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Closed Frequent Itemset

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SAT‐based and CP‐based declarative approaches for Top‐Rank‐ K closed frequent itemset mining

International Journal of Intelligent Systems ◽

10.1002/int.22294 ◽

2020 ◽

Vol 36 (1) ◽

pp. 112-151

Author(s):

Sa'ed Abed ◽

Areej A. Abdelaal ◽

Mohammad H. Al‐Shayeji ◽

Imtiaz Ahmad

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Closed Frequent Itemset

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A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data

Lecture Notes in Computer Science - Database and Expert Systems Applications ◽

10.1007/978-3-319-22849-5_35 ◽

2015 ◽

pp. 509-516 ◽

Author(s):

Mehdi Zitouni ◽

Reza Akbarinia ◽

Sadok Ben Yahia ◽

Florent Masseglia

Keyword(s):

Big Data ◽

Prime Number ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Closed Frequent Itemset

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Feature selection based on closed frequent itemset mining: A case study on SAGE data classification

Neurocomputing ◽

10.1016/j.neucom.2014.03.084 ◽

2015 ◽

Vol 151 ◽

pp. 1027-1032 ◽

Author(s):

K.R. Seeja

Keyword(s):

Feature Selection ◽

Data Classification ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Closed Frequent Itemset ◽

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Closed Frequent Itemset Mining Approach to Image Security Enhancement

2018 International Conference on Computer, Communication, and Signal Processing (ICCCSP) ◽

10.1109/icccsp.2018.8452846 ◽

2018 ◽

Author(s):

Moolam Hima Swetha ◽

B. Sivaselvan ◽

C. Oswald

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

Image Security ◽

Security Enhancement ◽

Itemset Mining ◽

Closed Frequent Itemset

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MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering

2012 IEEE 12th International Conference on Data Mining Workshops ◽

10.1109/icdmw.2012.24 ◽

2012 ◽

Author(s):

Su-Qi Wang ◽

Yu-Bin Yang ◽

Yang Gao ◽

Guang-Peng Chen ◽

Yao Zhang

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Closed Frequent Itemset

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A survey on closed frequent itemset mining on data streams

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) ◽

10.1109/ic3i.2016.7918023 ◽

2016 ◽

Author(s):

S. Pavitra Bai ◽

G. K. Ravi Kumar

Keyword(s):

Data Streams ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

Itemset Mining ◽

Closed Frequent Itemset

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Frequent Itemset Mining A Metadata Based Approach for Knowledge Discovery

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i3.316320 ◽

2018 ◽

Vol 6 (3) ◽

pp. 316-320

Author(s):

Basavaraj A. Goudannavar ◽

◽

Prashant Bhat ◽

Keyword(s):

Knowledge Discovery ◽

Frequent Itemset ◽

Frequent Itemset Mining ◽

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Inverse Frequent Itemset Mining Based on FP-Tree

Journal of Software ◽

10.3724/sp.j.1001.2008.00338 ◽

2008 ◽

Vol 19 (2) ◽

pp. 338-350 ◽

Author(s):

Yu-Hong GUO

Keyword(s):

Frequent Itemset ◽

Frequent Itemset Mining ◽

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