Results 31 to 40 of about 6,703 (218)

Crop Recommendation System Using Improved Apriori Algorithm

open access: yes, 2023
A crop suggestion system is a technologically advanced tool that helps farmers choose which crops to plant in a certain location or with precise environmental circumstances.
Satyanarayana Nimmala, et al.
core   +1 more source

Key factor mining method of distribution network equipment operational efficiency based on Apriori and CNN

open access: yesEnergy Reports, 2022
The paper proposed a mining method based on Apriori algorithm and convolutional neural network for main influencing factors of distribution equipment operation efficiency. Firstly, the possible affecting factors of operation efficiency are analyzed, then
Hao Bai
doaj   +1 more source

An Efficient Association Rules Algorithms for Medical Test Analysis [PDF]

open access: yesEngineering and Technology Journal, 2016
Data Mining denotes mining knowledge from hugequantity of data. All algorithms of association rules mining include ‘first finding frequency of item sets, which accept a minimum support threshold, and then calculates confidence percentage for all k-item ...
Ahmed Tariq Sadiq, Alaa Sameer Ali
doaj   +1 more source

Intrusion detection model based on fuzzy theory and association rules

open access: yesDianxin kexue, 2019
An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was ...
Jianwu ZHANG, Jiasen HUANG, Di ZHOU
doaj   +2 more sources

A Frequent Pattern Mining Method for Finding Planted Motifs of Unknown Length in DNA Sequences [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2011
Identification and characterization of gene regulatory binding motifs is one of the fundamental tasks toward systematically understanding the molecular mechanisms of transcriptional regulation.
Caiyan Jia, Ruqian Lu, Lusheng Chen
doaj   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

Apriori Application To Pattern Profile Creditor Relationships With Credit Ceiling In Rural Bank [PDF]

open access: yes, 2012
Maintaining the customer to remain loyal and acquiring new clients are the successful capital for financial institutions such as the BPR. This is supported by appropriate marketing strategies.
Theresia Widji, Astuti
core  

A Novel Full‐Chain Loop Tracking Auditing Framework for Obtaining Audit Evidence With Reasonable Assurance

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As an attestation engagement, auditing is required to provide reasonable assurance for its conclusions. Traditional auditing has limited capacity to handle unstructured data and is usually based on audit sampling techniques, which can lead to the neglect of important audit evidence during the auditing process and result in a higher audit risk,
Xiaojia Wang, Ziqing Luo, Chaoxu Mu
wiley   +1 more source

Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm [PDF]

open access: yes, 2011
We present a novel method for mining itemsets that are both quantitative and temporal, for association rule mining, using multi-objective evolutionary search and optimisation.
Gongora, Mario A.   +9 more
core   +1 more source

Automated Chemical Equation Balancing Using the Apriori Algorithm

open access: yes, 2023
Chemical equations must be balanced to maintain mass conservation. Traditional chemists employed manual processes with meticulous investigation and trial-and-error iterations.
Mohialden, Yasmin Makki   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy