Results 21 to 30 of about 2,350,350 (281)

Natural products for migraine: Data-mining analyses of Chinese Medicine classical literature

Frontiers in Pharmacology, 2022
Background: Treatment effect of current pharmacotherapies for migraine is unsatisfying. Discovering new anti-migraine natural products and nutraceuticals from large collections of Chinese medicine classical literature may assist to address this gap ...
Claire Shuiqing Zhang, Shaohua Lyu, Shaohua Lyu, Anthony Lin Zhang, Xinfeng Guo, Jingbo Sun, Chuanjian Lu, Xiaodong Luo, Charlie Changli Xue, Charlie Changli Xue   +9 more
doaj   +1 more source

Investigating Acupoint Selection and Combinations of Acupuncture for Tic Disorders: An Association Rule Mining and Network Analysis Study

Frontiers in Neurology, 2022
ObjectiveTic disorders (TDs) are common mental disorders in children and adolescents, and the clinical application of acupuncture for treating TDs is becoming increasingly widespread.
Jieting Chen, Jieting Chen, Yufeng Xie, Qingchan Lin, Qingchan Lin, Ziliang Qian, Jun Feng, Jun Feng, Jianmei Zhang, Jianmei Zhang, Yun Chen, Wenhan Chen, Yueting Wu, Yueting Wu, Ziyi Guo   +14 more
doaj   +1 more source

Controlling False Positives in Association Rule Mining [PDF]

, 2011
Association rule mining is an important problem in the data mining area. It enumerates and tests a large number of rules on a dataset and outputs rules that satisfy user-specified constraints.
Liu, Guimei, Wong, Limsoon, Zhang, Haojun   +2 more
core   +5 more sources

Temporal fuzzy association rule mining with 2-tuple linguistic representation [PDF]

, 2012
This paper reports on an approach that contributes towards the problem of discovering fuzzy association rules that exhibit a temporal pattern. The novel application of the 2-tuple linguistic representation identifies fuzzy association rules in a temporal
Ahmadi, Samad, Gongora, Mario A., Hopgood, Adrian A., Matthews, Stephen G.   +3 more
core   +3 more sources

Ontology in association rules [PDF]

SpringerPlus, 2013
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as the use of association rules, may substantially reduce the search effort over large data sets, often, the consequential outcomes surpass the amount of information humanly manageable.
Ferraz, Inhaúma, Garcia, Ana Cristina
openaire   +2 more sources

A review of associative classification mining [PDF]

, 2007
Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers.
Thabtah, Fadi
core   +1 more source

NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines

Mathematics
Numerical Association Rule Mining (NARM), which simultaneously handles both numerical and categorical attributes, is a powerful approach for uncovering meaningful associations in heterogeneous datasets.
Uroš Mlakar, Iztok Fister, Iztok Fister
doaj   +1 more source

An Adaptive Approach to Quantify Plant Features by Using Association Rule-Based Similarity

IEEE Access, 2019
In elementary school, the first step to learning about plants is observing plant features. In this study, we developed a plant search system that allows users to do a search even when they do not know the plant name simply by observing plant ...
Shu-Chen Cheng, Yu-Ping Cheng
doaj   +1 more source

Mining of the Association Rules Between Socio-Economic Development Indicators and Rural Harmless Sanitary Toilet Penetration Rate to Inform Sanitation Improvement in China

Frontiers in Environmental Science, 2022
The imbalance of socioeconomic development (SED) in different regions of China has resulted in the variability of rural infrastructure penetration. This study aims to improve the SED of each region in China to increase the penetration rate of rural ...
Yong Li, Shikun Cheng, Jiangshui Cui, Mingjun Gao, Zifu Li, Ling Wang, Cong Chen, Davaa Basandorj, Tianxin Li   +8 more
doaj   +1 more source

New Associative Classification Method Based on Rule Pruning for Classification of Datasets

IEEE Access, 2019
In data mining, a rule-based classification approach called Associative Classification (AC) normally builds accurate classifiers from supervised learning data sets. It extracts “If-Then” rules and associates each of the generated rules with
Khairan D. Rajab
doaj   +1 more source