Search Result "apriori algorithm"


Research Article

A Parallel Algorithm of Association Rules Applicable to Sales Data Analysis

Journal: Recent Advances in Computer Science and Communications
Volume: 14 Issue: 3 Year: 2021 Page: 922-931
Author(s): Guoping Lei,Ke Xiao,Xiuying Luo,Feiyi Cui,Minlu Dai

Research Article

A Hybrid Binary Cuckoo Search and Genetic Algorithm for Feature Selection in Type-2 Diabetes

Journal: Current Bioinformatics
Volume: 11 Issue: 4 Year: 2016 Page: 490-499
Author(s): Ramasamy R. Rajalaxmi

Intelligent Personalized E-Learning Platform using Machine Learning Algorithms

Ebook: Machine Learning Methods for Engineering Application Development

Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9879815079180122010011

Segmentation of Brain Regions by Integrating Meta Heuristic Multilevel Threshold with Markov Random Field

Journal: Current Medical Imaging
Volume: 12 Issue: 1 Year: 2016 Page: 4-12
Author(s): Palani T. Krishnan,Parvathavarthini Balasubramanian,Chitra Krishnan

Research Article

The Perspicacity of Association Rule Mining in the Multifaceted Environment of Ayurveda

Journal: Current Traditional Medicine
Volume: 3 Issue: 3 Year: 2017 Page: 195-205
Author(s): Saloni Ambasana,V. J. Shukla,Mahesh Vyas

Research Article

iMTBGO: An Algorithm for Integrating Metabolic Networks with Transcriptomes Based on Gene Ontology Analysis

Journal: Current Genomics
Volume: 20 Issue: 4 Year: 2019 Page: 252-259
Author(s): Zhitao Mao,Hongwu Ma

Prediction using Machine Learning

Ebook: Handbook of Artificial Intelligence

Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124514123010005

Analysis of Association Rules between Hourly Meteorological Factors and PM2.5 Water-Soluble Inorganic Ions in Lanzhou, China

Journal: Recent Patents on Computer Science
Volume: 9 Issue: 1 Year: 2016 Page: 19-24
Author(s): Guangyu Zhai,Ning Zhang,Jiyuan Dong,Shigong Wang,Kezheng Shang

Advanced Topics in Machine Learning

Ebook: Machine Learning Methods for Engineering Application Development

Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9879815079180122010015

A Hierarchical Classification for the Selection of the Most Suitable Multiple Sequence Alignment Methodology

Journal: Current Bioinformatics
Volume: 10 Issue: 2 Year: 2015 Page: 199-207
Author(s): Francisco M. Ortuño,Hector Pomares,Olga Valenzuela,Carolina Torres,Ignacio Rojas

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