Results 181 to 190 of about 3,752,831 (214)

A Caching-Based Parallel FP-Growth in Apache Spark

2018
The association-rule-based recommendation is widespread in many big data applications which need quick response to improve user experience. Spark is a widely used distributed computing platform, which accelerates the processing of large-scale distributed data.
Zhicheng Cai, Xingyu Zhu 0005, Yuehui Zheng, Duan Liu, Lei Xu 0003   +4 more
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Mining data association based on a revised FP-growth algorithm

2012 International Conference on Machine Learning and Cybernetics, 2012
This paper introduces a new weighted Apriori based on a revised FP-growth algorithm to mine association rules in a relational database. The new algorithm is acquired by revising the search mechanism of the well known Apriori weighted multidimensional data mining algorithm which searches for candidate item sets by repeatedly scanning in the database ...
Lei Wang, Xing-Juan Fan, Xing-Long Liu, Huan Zhao   +3 more
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Discovering drugs combination pattern using FP-growth algorithm

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2017
A drug can be used to deal more than one diseases and to deal an illness often need a combination of more than one drugs. This paper present how to discover a pattern of a combination of medicines related to a diagnosis of diseases using FP-Growth one of frequent pattern mining algorithm.
Rini Anggrainingsih, Nach Rowi Khoirudin, Haryono Setiadi   +2 more
openaire   +1 more source

Face Recognition Based on FP-Growth Improved LBP Operator

Proceedings of the 2019 3rd International Conference on Digital Signal Processing, 2019
The basic features extracted by the basic LBP operator are not complete. It only analyzes the symbolic values of local differences. How to improve the features extracted by the LBP operator and how to effectively express the information that the basic LBP operator fails to express to achieve a better recognition rate has not yet been solved.
Sijie Long, Chengfeng Zheng, Canliu Wu, Tianyi Qi, Xiaojie Li, Yongsheng Zhu, Jingyi Liu, Jinwei Li, Jia Shuai, Zefeng Xie, Zhongyuan Chen, Hang Du   +11 more
openaire   +1 more source

Improving RETECS method using FP-Growth in continuous integration

2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018
Continuous integration is an important but time and resource consuming process. Testing should be continuously done during this period. Developers need to select and refine test case as soon as possible to reduce testing cost. However, testing in continuous integration frequently is prohibitively expensive.
Wen Wen, Zhongju Yuan, Yuyu Yuan
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Mining association rules uses fuzzy weighted FP-growth

The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, 2012
In data mining, the association rules are used to search for the relations of items of the transactions database. Following the data collected and stored, it can find values through association rules, and assist manager to proceed marketing strategies and plan market framework.
Chien-Hua Wang, Sheng-Hsing Liu, Chin-Tzong Pang   +2 more
openaire   +1 more source

An Improvement of FP-Growth Mining Algorithm Using Linked list

2020 IEEE Conference on Computer Applications(ICCA), 2020
Frequent pattern mining such as association rules, clustering, and classification is one of the most central areas in the data mining research. One of the foremost processes in association rule mining is the discovering of the frequent pattern. To draw on all substantial frequent patterns from the sizable amount of transaction data, various algorithms ...
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Research and Improvement on Association Rule Algorithm Based on FP-Growth

2012
Association rules mining (ARM) is one of the most useful techniques in the field of knowledge discovery and data mining and so on. Frequent item sets mining plays an important role in association rules mining. Apriori algorithm and FP-growth algorithm are famous algorithms to find frequent item sets.
Jingbo Yuan, Shunli Ding
openaire   +1 more source

Systemic therapy for hormone receptor‐positive/human epidermal growth factor receptor 2‐negative early stage and metastatic breast cancer

Ca-A Cancer Journal for Clinicians, 2023
Laura A Huppert, Özge Gümüsay, Damé Idossa   +2 more
exaly  

Model for Finding Frequent Sets in FP-growth for Multimodal Data [PDF]

Computer Modeling and Intelligent Systems, 2022
Nataliya Boyko, Oleksandr Tkachyk
openaire   +1 more source