Handling missing values for mining gradual patterns from NoSQL graph databases-Reference-Cited by-同舟云学术

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Handling missing values for mining gradual patterns from NoSQL graph databases

Published:2020-10 Issue: Volume:111 Page:523-538
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Shah Faaiz,Castelltort Arnaud,Laurent Anne

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference48 articles.

1. An introduction to data mining;Aggarwal,2015

2. Frequent pattern mining algorithms: A survey;Aggarwal,2014

3. E. Hüllermeier, Association rules for expressing gradual dependencies, in: Proc. of PKDD’02, 2002, pp. 200–211.

4. Mining frequent gradual itemsets from large databases;Di-Jorio,2009

5. GRAANK: exploiting rank correlations for extracting gradual itemsets;Laurent,2009

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel algorithm for mining maximal frequent gradual patterns;Engineering Applications of Artificial Intelligence;2023-04

2. A Systematic Literature Review On Missing Values: Research Trends, Datasets, Methods and Frameworks;E3S Web of Conferences;2023

3. Extracting Frequent (Closed) Seasonal Gradual Patterns Using Closed Itemset Mining;2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI);2021-11

4. A novel algorithm for extracting frequent gradual patterns;Machine Learning with Applications;2021-09

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