Results 161 to 170 of about 45,837 (241)

Evolutionary Insights from Association Rule Mining of Co-Occurring Mutations in Influenza Hemagglutinin and Neuraminidase. [PDF]

Viruses
Galeone V, Lee C, Monaghan MT, Bauer DC, Wilson LOW.   +4 more
europepmc   +1 more source

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Incremental frequent itemsets mining based on frequent pattern tree and multi-scale

Expert Systems With Applications, 2021
Multi-scale can reveal the structure and hierarchical characteristics of the data objects to reflect their essence from different perspectives and levels.
Yaling Xun, Xiaohui Cui, Jifu Zhang, Qingxia Yin   +3 more
semanticscholar   +3 more sources

Combine clustering and frequent itemsets mining to enhance biomedical text summarization

Expert Systems With Applications, 2019
Text summarization has become an important research area, especially in the biomedical domain, where information overload is a major problem. In this paper, we propose a novel biomedical text summarization system that combines two popular data mining ...
Oussama Rouane, H. Belhadef, M. Bouakkaz
semanticscholar   +3 more sources

Fast mining frequent itemsets using Nodesets

Expert Systems With Applications, 2014
Node-list and N-list, two novel data structure proposed in recent years, have been proven to be very efficient for mining frequent itemsets. The main problem of these structures is that they both need to encode each node of a PPC-tree with pre-order and post-order code.
Zhi-Hong Deng
exaly   +2 more sources

Combining Apriori heuristic and bio-inspired algorithms for solving the frequent itemsets mining problem

Information Sciences, 2017
Y. Djenouri, M. Comuzzi
semanticscholar   +3 more sources

RWFIM: Recent weighted-frequent itemsets mining

Engineering Applications of Artificial Intelligence, 2015
Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong   +3 more
semanticscholar   +3 more sources

FPGA/GPU-based Acceleration for Frequent Itemsets Mining: A Comprehensive Review

ACM Computing Surveys, 2021
In data mining, Frequent Itemsets Mining is a technique used in several domains with notable results. However, the large volume of data in modern datasets increases the processing time of Frequent Itemset Mining algorithms, making them unsuitable for ...
Lázaro Bustio-Martínez, R. Cumplido, Martín Letras, Raudel Hernández-León, C. Feregrino-Uribe, José Hernández-Palancar   +5 more
semanticscholar   +1 more source

Detection of Breast Cancer Based on Fuzzy Frequent Itemsets Mining

IRBM, 2020
Background: Breast cancer, a type of malignant tumor, affects women more than men. About one third of women with breast cancer die of this disease. Hence, it is imperative to find a tool for the proper identification and early treatment of breast cancer.
F. R. Dhanaseelan, M. J. Sutha
semanticscholar   +1 more source

INFIN: An Efficient Algorithm for Fast Mining Frequent Itemsets

2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML), 2021
The negFIN is the current state-of-the art algorithm for frequent itemsets mining. It employs a novel BMC (bitmap code) encoding model for nodes in a prefix tree based on the bitmap representation of sets.
Shaopeng Wang, Yufei Wang, Chunkai Feng, Chaoyu Niu   +3 more
semanticscholar   +1 more source

Mining temporal association rules with frequent itemsets tree

Applied Soft Computing Journal, 2018
Ling Wang, Jianyao Meng, Peipei Xu, Kai-xiang Peng   +3 more
semanticscholar   +3 more sources