Results 31 to 40 of about 455,662 (262)

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

Secure Association Rule Sharing [PDF]

, 2004
The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal strategic patterns which we call restrictive rules. These restrictive rules must be protected before sharing since they are paramount for strategic decisions and need to remain private.
Oliveira, Stanley R. M., Zaïane, Osmar R., Saygın, Yücel   +2 more
openaire   +3 more sources

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

AARN3: A Software Defect Prediction Model Using Atomic Association Rule Networks Based on Three Distinct Minimum Support Thresholds

IEEE Open Journal of the Computer Society
Software defect prediction (SDP) optimizes testing resource allocation by enabling timely detection of potential defects. Association rule mining, a highly interpretable and high-performance data mining technique, has proven effective as an SDP predictor.
Wentao Wu, Xinan Liu, Hong Du, Yiding Liu, Xingxin Li, Haoran Li, Suxin Mo, Huaibo Shen, Runzi Guo   +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

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

Health‐Related Quality of Life and Symptom Severity Among Patients With PIK3CA‐Related Overgrowth Spectrum: A Mixed‐Methods Study to Understand Real‐World Experience With Alpelisib Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu, Kaitlin LaGasse, Cory D. Saucier, Kimberly Raymond, Miranda Lauher‐Charest, Lauren Crowder, Beilei Cai, Mary Lisha Paul, Denise Adams   +8 more
wiley   +1 more source

A Robustness Measure of Association Rules [PDF]

, 2010
We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only been studied unsatisfactorily up to now. It is crucial because a good rule (according to a given quality measure) might turn out as a very fragile rule with respect to small variations ...
Le Bras, Yannick, Meyer, Patrick, Lallich, Stéphane, Lenca, Philippe   +3 more
openaire   +1 more source