Parallel Implementation of Apriori Algorithm Based on MapReduce [PDF]
Searching frequent patterns in transactional databases is considered as one of the most important data mining problems and Apriori is one of the typical algorithms for this task.
Ning Li, Li Zeng, Qing He, Zhongzhi Shi
doaj +1 more source
Personalized and Explainable Aspect‐Based Recommendation Using Latent Opinion Groups
ABSTRACT The problem of explainable recommendation—supporting the recommendation of a product or service with an explanation of why the item is a good choice for the user—is attracting substantial research attention recently. Recommendations associated with an explanation of how the aspects of the chosen item may meet the needs and preferences of the ...
Maryam Mirzaei +2 more
wiley +1 more source
A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing
It is crucial to provide compatible treatment schemes for a disease according to various symptoms at different stages. However, most classification methods might be ineffective in accurately classifying a disease that holds the characteristics of ...
Bilal, Kashif +5 more
core +1 more source
Intelligent data analysis based on natural language processing technology in educational evaluation
Traditional educational evaluation models cannot comprehensively evaluate students' learning effects and learning abilities in advance, and it is also difficult to track the development and changes of students' abilities in the learning process in real ...
Ruili Zheng
doaj +1 more source
Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems
This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley +1 more source
Class Association Rules Mining based Rough Set Method [PDF]
This paper investigates the mining of class association rules with rough set approach. In data mining, an association occurs between two set of elements when one element set happen together with another. A class association rule set (CARs) is a subset of
Slimani, Thabet
core
This work proposes an intelligent grey-wolf-optimizer-improved Apriori algorithm (GWO-Apriori) to mine the association rules of hidden dangers in hydrogen pipeline transmission stations.
Chaoming Wang +4 more
doaj +1 more source
Tourism Resource Management and Optimization Based on Internet of Things Edge Computing
Tourism is a major driver of economic growth, contributing to local economies while promoting cultural exchange and environmental awareness. Tourism resource management plays a crucial role in optimizing the efficiency and sustainability of tourism destinations.
Yuli Kan
wiley +1 more source
Extracting Knowledge of 2D‐Hybrid Halide Perovskite Materials: A Data Mining Approach
Data mining is used to uncover patterns among the composition, structure, and physicochemical properties of 2D‐hybrid halide perovskites. The results show the significance of the chemical nature of spacer cations, which affects the structural parameters and the bandgap.
Guadalupe Castro +2 more
wiley +1 more source
Usage Apriori and clustering algorithms in WEKA tools to mining dataset of traffic accidents
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 +1 more
doaj +1 more source

