Results 61 to 70 of about 43,482 (243)
Shopping and Basket Analysis by Using an Improved Apriori Algorithm in WEKA
In the past years, e-commerce and online shopping grew fast. It became more helpful by letting people buy the desired product online. Also, to help their users to find the product of their desire easily and make the process simpler, the online shopping ...
Shahab H. Kaka Ali +1 more
doaj +1 more source
Application of Data Assimilation Methods to Reconstruct the 3–5 December 2015 Etna Eruption
Abstract The assessment of volcanic hazards is crucial to develop effective emergency plans, especially for volcanoes close to urban areas or under air traffic routes. Impact assessment for expected scenarios relies on underlying numerical models that require eruption source parameters as inputs, and forecasts drastically depend on their robust ...
B. Martínez Montesinos +7 more
wiley +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Apriori algorithm is one of the methods with regard to association rules in data mining. This algorithm uses knowledge from an itemset previously formed with frequent occurrence frequencies to form the next itemset.
Adie Wahyudi Oktavia Gama +1 more
doaj +1 more source
Optimization of Teaching Management System Based on Association Rules Algorithm
The teaching management department carries all the work related to teaching in the whole school. A scientific, efficient, and complete teaching management system cannot only help the teaching management department improve work efficiency and quality but ...
Qing Niu
doaj +1 more source
Market Basket Analysis using Apriori Algorithm
A Technique that check for dependency for one Data item to another is Association Rule which is an old Data mining approach. Which is used to identify the next product that might interest a customer. The Apriori Algorithm is applied in this for mining frequent products sets and relevant Association rule.
Dr. Yojna Arora, Dr. Yojna Arora
openaire +1 more source
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
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
ABSTRACT The Duffing oscillator is often considered as “the” prototype of a nonlinear oscillator as it exhibits many characteristic phenomena of nonlinear dynamics. One of these phenomena is the occurrence of multiple periodic solutions as considered here for the case of the harmonically excited slightly damped Duffing oscillator.
Hannes Dänschel +3 more
wiley +1 more source
Quantum algorithm for association rules mining
Association rules mining (ARM) is one of the most important problems in knowledge discovery and data mining. Given a transaction database that has a large number of transactions and items, the task of ARM is to acquire consumption habits of customers by ...
Gao, Fei +3 more
core +2 more sources

