Results 51 to 60 of about 3,287 (180)

Usage Apriori and clustering algorithms in WEKA tools to mining dataset of traffic accidents

Journal of Information and Telecommunication, 2018
The aim of this study is finding approaches for investigating association rules mining algorithms and clustering to offer new rules from a broad set of discovered rules which taken from traffic accident data at Alghat Provence in KSA.
Faisal Mohammed Nafie Ali, Abdelmoneim Ali Mohamed Hamed   +1 more
doaj   +1 more source

Artificial intelligence for risk assessment and outcome prediction in malignant haematology

British Journal of Haematology, Volume 208, Issue 1, Page 25-38, January 2026.
Machine learning models allow for dynamic and scalable risk stratification and outcome prediction. Different modalities of data such as electronic health records, patient genetics or laboratory results can be used as input. ML models autonomously select features weighing their prognostic value. Methods of model explainability in feature selection allow
Jan‐Niklas Eckardt, Wencke Walter, Jan Moritz Middeke, Torsten Haferlach   +3 more
wiley   +1 more source

Trajectory Semanticization: A Method of Accompany Vehicle Discovery Inspired by Semantic Similarity

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
The study of accompanying vehicles is a hot topic in the field of intelligent transportation. Because of the multiple selectivity of the traffic path and the loss of sampling in traditional companion vehicles discovery, the method based on path similarity mining will result in the omission of the companion candidates.
Xinpeng Xu, Junhao Li, Weiguo Wu, Indrajit Ghosh   +3 more
wiley   +1 more source

Categorization and regression algorithm based on the quantitative association rule tree

工程科学学报, 2016
To solve the problem of the low efficiency and accuracy of numerical data mining based on the Apriori categorization association rule algorithm,this article introduces a categorization and regression algorithm based on the quantitative association rule ...
WANG Ling, LI Shu-lin, WU Lu-lu
doaj   +1 more source

Correlation Analysis of Influencing Factors of Autonomous Vehicle Accidents Based on Improved Apriori Algorithm

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
The purpose of this study was to explore the risk factors for autonomous vehicle (AV) crashes and their interdependencies. A total of 659 AV crash data were collected between 2018 and July 2024 from AV crash reports published by the California Department of Motor Vehicles.
Tao Wang, Wenzhi Tang, Juncong Chen, Wenwu Chen, Mohammad Rezwan Habib   +4 more
wiley   +1 more source

Implementasi data mining untuk menentukan strategi penjualan buku bekas dengan pola pembelian konsumen menggunakan metode apriori

Teknika, 2020
Proses jual beli yang ada pada toko buku bekas memiliki kendala, yaitu penyimpanan data penjualan masih secara tertulis. Hal itu berakibat pada sulitnya menemukan buku yang diinginkan karena penyusunan buku belum rapi.
Ira Zulfa, Rayuwati Rayuwati, Khaidir Koko   +2 more
doaj   +1 more source

APRIORI ALGORITHM TO ANALYSE STUDENTS PERFORMANCE

, 2023
Abstract— Predicting academic accomplishment is a critical goal in the field of education as it can reveal the elements that determine the degree to which a student performs and recommend activities that enhance learning outcomes. In this research, we offer a method for analyzing student performance that makes use of association rule mining and the ...
Manoj, Aparna K, Joseph, Grace
openaire   +1 more source

Acupuncture and Moxibustion Treatment for Insomnia Disorder: Exploration of Prescription Patterns and Characteristics Using Multivariate Data Analysis

International Journal of Clinical Practice, Volume 2026, Issue 1, 2026.
Introduction Acupuncture and moxibustion therapies effectively treat insomnia disorder (ID). This study aims to use multivariate data analysis to elucidate patterns of acupoint selection and application characteristics of acupuncture for ID and to optimize acupuncture and moxibustion prescriptions for its treatment.
Hong-Yan Zhang, Wei-Ming Zhao, Tian-Yi Wang, Dong-Yan Wang, Xu Dong, Li-Yuan Feng, Yi-Hao Zhou, Si-Yu Jiang, Yue Liu, Ru-Wen Zheng, Suraiya Saleem   +10 more
wiley   +1 more source

An Association Rule Mining Scheme Based on Bit Operation and Reverse Index

Dianxin kexue, 2015
An improved Apriori algorithm for association rule mining called Apriori-BR was proposed,which was based on bit operation and reverse index.Specifically,the reverse index from frequent itemsets to transactions was constructed firstly by scanning twice of
Yulei Huang, Xiaoxia Luo, Qing Lin
doaj   +2 more sources

IMPLEMENTASI METODE MARKET BASKET ANALYSIS (MBA) MENGGUNAKAN ALGORITMA APRIORI DALAM TRANSAKSI PENJUALAN (STUDI KASUS: KAFE RUANG TEMU)

Jurnal Saintekom, 2020
Jakarta is one of the culinary attractions, many tourist attractions every year become creative in business. One of them is a cafe. Cafe Ruang Temu has sales transaction data but is not used to see associations between one product and another.
Muhammad SyahruRomadhon, Achmad Kodar
doaj   +1 more source