Results 71 to 80 of about 43,482 (243)

Parallel Implementation of Apriori Algorithm Based on MapReduce [PDF]

open access: yesInternational Journal of Networked and Distributed Computing (IJNDC), 2013
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

open access: yesComputational Intelligence, Volume 42, Issue 2, April 2026.
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

open access: yes, 2018
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

open access: yesDiscover Artificial Intelligence
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

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 3, March 2026.
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]

open access: yes, 2015
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  

Intelligent Identification of Hidden Dangers in Hydrogen Pipeline Transmission Station Using GWO-Optimized Apriori Algorithm

open access: yesEnergies
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

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
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

open access: yesChemistryOpen, Volume 15, Issue 3, March 2026.
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

open access: yesJournal 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   +1 more
doaj   +1 more source

Home - About - Disclaimer - Privacy