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- ArticleJuly 2024
Using Code from ChatGPT: Finding Patterns in the Developers’ Interaction with ChatGPT
AbstractChatGPT can advise developers and provide code on how to fix bugs, add new features, refactor, reuse, and secure their code but currently, there is little knowledge about whether the developers trust ChatGPT’s responses and actually use the ...
- research-articleMay 2024
- research-articleJuly 2024
Design of data mining system for sports training biochemical indicators based on artificial intelligence and association rules
International Journal of Data Mining and Bioinformatics (IJDMB), Volume 28, Issue 3-42024, Pages 236–256https://doi.org/10.1504/ijdmb.2024.139449Physiological indicators are an important basis for reflecting the physiological health status of the human body and play an important role in medical practice. Association rules have also been one of the important research hotspots in recent years. This ...
- research-articleApril 2024
Research on fast mining algorithm for multi-feature fuzzy association data based on compressed matrix
International Journal of Information and Communication Technology (IJICT), Volume 24, Issue 32024, Pages 273–288https://doi.org/10.1504/ijict.2024.137933In order to overcome the low mining accuracy and efficiency of traditional multi-feature fuzzy association data mining algorithms, a new fast multi-feature fuzzy association data mining algorithm based on compressed matrix is proposed in this paper. The ...
- research-articleApril 2024
Online education big data mining method based on association rules
International Journal of Information and Communication Technology (IJICT), Volume 24, Issue 32024, Pages 262–272https://doi.org/10.1504/ijict.2024.137931In order to solve the problems of slow mining speed, high noise and poor data correlation in the existing online education big data mining methods, an online education big data mining method based on association rules is designed. Firstly, the recursive ...
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- research-articleFebruary 2024
Map Reduce approach for road accident data analysis using data mining techniques
International Journal of Advanced Intelligence Paradigms (IJAIP), Volume 27, Issue 12024, Pages 1–17https://doi.org/10.1504/ijaip.2024.136784Nowadays, the most life-threatening risk to humans is road accidents. Traffic accidents that cause a lot of damages are occurring all over the place. The best answer for these sorts of accidents is to foresee future accidents ahead of time, giving driver'...
- research-articleFebruary 2024
Consumer preference mining method of online marketing platform based on social network analysis
International Journal of Networking and Virtual Organisations (IJNVO), Volume 30, Issue 12024, Pages 82–99https://doi.org/10.1504/ijnvo.2024.136776In order to address the problems of low text extraction accuracy, mining accuracy, and effectiveness in existing consumer preference mining methods for online marketing platforms, this article uses social network analysis methods to mine consumer ...
- research-articleFebruary 2024
Study on mining repeated purchase behaviour intention of online consumers based on big data clustering
International Journal of Web Based Communities (IJWBC), Volume 20, Issue 1-22024, Pages 2–14https://doi.org/10.1504/ijwbc.2024.136659In order to improve the performance of traditional repeat purchase behaviour intention mining methods in mining accuracy, a repeat purchase behaviour intention mining method of online consumer users based on big data clustering is proposed. Users' ...
- research-articleJanuary 2024
A data mining method for biomedical literature based on association rules algorithm
International Journal of Data Mining and Bioinformatics (IJDMB), Volume 28, Issue 12024, Pages 1–17https://doi.org/10.1504/ijdmb.2024.136220There are problems in the process of biomedical literature data mining, such as high data noise, low mining accuracy, and long-time consumption. Therefore, a biomedical literature data mining method based on association rule algorithm was designed. First,...
- research-articleSeptember 2023
What Factors Affect the Build Failures Correction Time? A Multi-Project Study
SBCARS '23: Proceedings of the 17th Brazilian Symposium on Software Components, Architectures, and ReuseSeptember 2023, Pages 41–50https://doi.org/10.1145/3622748.3622753Continuous Integration (CI) is a widely adopted practice in modern software engineering that involves integrating developers’ local changes with the project baseline daily. Despite its popularity, recent studies have revealed that integrating changes ...
- ArticleSeptember 2023
A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma
Hybrid Artificial Intelligent SystemsSep 2023, Pages 731–742https://doi.org/10.1007/978-3-031-40725-3_62AbstractSarcomas are rare mesodermal tumors of heterogeneous nature and have a higher incidence in children. The relative 5-year survival rate for patients with metastatic sarcoma is usually low. Standard treatment for sarcomas involves surgical resection,...
- ArticleJanuary 2024
Visual Analysis of Machine Tool Operation Mode Correlation Based on Parameter Category Coding
AbstractAiming at the problem that the machine tool operation data has many dimensions, the parameters relationship is complex, and its abnormal patterns and hidden correlation information are difficult to fully excavate, this paper proposed a visual ...
- research-articleJuly 2023
Do Code Refactorings Influence the Merge Effort?
ICSE '23: Proceedings of the 45th International Conference on Software EngineeringMay 2023, Pages 134–146https://doi.org/10.1109/ICSE48619.2023.00023In collaborative software development, multiple contributors frequently change the source code in parallel to implement new features, fix bugs, refactor existing code, and make other changes. These simultaneous changes need to be merged into the same ...
Validating SMT Solvers via Skeleton Enumeration Empowered by Historical Bug-Triggering Inputs
ICSE '23: Proceedings of the 45th International Conference on Software EngineeringMay 2023, Pages 69–81https://doi.org/10.1109/ICSE48619.2023.00018SMT solvers check the satisfiability of logic formulas over first-order theories, which have been utilized in a rich number of critical applications, such as software verification, test case generation, and program synthesis. Bugs hidden in SMT ...
- research-articleFebruary 2023
Explainable Integration of Social Media Background in a Dynamic Neural Recommender
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 17, Issue 3Article No.: 40, Pages 1–14https://doi.org/10.1145/3550279Recommender systems nowadays are commonly deployed in e-commerce platforms to help customers making purchase decisions. Dynamic recommender considers not only static user-item interaction data, but the temporal information at the time of recommendation. ...
- research-articleJanuary 2023
Research on the application of association rules based on information entropy in human resource management
International Journal of Web Engineering and Technology (IJWET), Volume 18, Issue 32023, Pages 221–237https://doi.org/10.1504/ijwet.2023.133617The informatisation process of human resource management requires the face of massive data, and association rule algorithms can efficiently mine the relationships between itemsets from massive data. The Apriori algorithm is widely used due to its ...
- research-articleJanuary 2023
Personalised advertising push method based on semantic similarity and data mining
International Journal of Web Based Communities (IJWBC), Volume 19, Issue 2-32023, Pages 93–103https://doi.org/10.1504/ijwbc.2023.131385This paper designed a personalised advertising push method based on semantic similarity and data mining. Firstly, in order to improve the matching degree of advertising keywords, the similarity theory is used to classify advertising categories. According ...
- research-articleJanuary 2023
Application research of improved Apriori algorithm in teaching evaluation of mobile platform for elderly education
International Journal of Networking and Virtual Organisations (IJNVO), Volume 28, Issue 2-42023, Pages 348–363https://doi.org/10.1504/ijnvo.2023.133877How to improve the teaching level of elderly education is of great practical significance to the current 'elderly' countries and regions. In this study, we improve the Apriori algorithm to analyse the teaching evaluation data, and test the performance and ...
- research-articleJanuary 2023
Research on parallel association rule mining of big data based on an improved K-means clustering algorithm
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Volume 16, Issue 32023, Pages 233–247https://doi.org/10.1504/ijaacs.2023.131622In order to overcome the problems of time-consuming, low-precision and redundant rules in association rule mining of big data, a parallel association rule mining method based on an improved K-means clustering algorithm is proposed. Establish a data object ...
- research-articleJanuary 2023
Food Nutrient Composition Analysis Based on Adaptive AP Clustering Algorithm
ICIIP '22: Proceedings of the 7th International Conference on Intelligent Information ProcessingSeptember 2022, Article No.: 17, Pages 1–7https://doi.org/10.1145/3570236.3570254Food is the basis of people's survival, and its nutrient content has a positive effect on improving people's physical fitness and health. By analyzing the relationship between nutrient composition and the content of food, we can effectively improve the ...