Results 41 to 50 of about 3,287 (180)
The apriori algorithm uses minimum support and minimum confidence to determine appropriate itemset rules for decision making. The problem faced in this research is how to improve the performance of the a priori algorithm in the process of searching for ...
Moch Syahrir +3 more
doaj +1 more source
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
Learning Optimal Crowd Evacuation from Scratch Through Self‐Play
How would a superintelligent crowd behave in emergencies? This study develops an approach using multiagent deep reinforcement learning combined with self‐play to discover optimal evacuation strategies for pressure‐aware agents. The model learns behaviors such as queuing and zipper‐merging that significantly surpass traditional approaches in fatality ...
Mahdi Nasiri +3 more
wiley +1 more source
Objective Behavior and motor manifestations are distinctive yet often overlooked features of epileptic seizures. Seizures can result in transient disruptions in motor control, often organized into specific behavioral sequences that can inform seizure types, onset zones, and outcomes.
Yuyan Shen +8 more
wiley +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
An Improved Apriori Algorithm For Association Rules
9 pages, 3 figures, 8 tables ...
Al-Maolegi, Mohammed, Arkok, Bassam
openaire +2 more sources
ABSTRACT Introduction Priority screening has the potential to reduce the number of records that need to be annotated in systematic literature reviews. So‐called technology‐assisted reviews (TAR) use machine‐learning with prior include/exclude annotations to continuously rank unseen records by their predicted relevance to find relevant records earlier ...
Tim Repke +7 more
wiley +1 more source
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
We build a new, open‐source global copper deposit dataset (GCDD), facilitating AI‐driven data analysis for exploration targeting and improving our understanding of copper mineralizing systems and their mappable expressions. The GCDD hosts information about 1483 copper deposits worldwide, capturing key deposit attributes such as location, genetic type ...
Bin Wang +2 more
wiley +1 more source
ABSTRACT Smart cities represent transformative urban ecosystems, leveraging advanced technologies to address challenges posed by rapid urbanisation, energy efficiency demands, and sustainability goals. Despite extensive research, a comprehensive and integrated literature analysis combining AI‐based communication, energy management, cybersecurity, and ...
Maaz Tahir Malik +5 more
wiley +1 more source

