Results 31 to 40 of about 2,307,372 (214)
An Improved Apriori Algorithm For Association Rules
International Journal on Natural Language Computing, 2014 9 pages, 3 figures, 8 tables ...
Mohammed Al-Maolegi, Bassam Arkok
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Comparative Study of Different Improvements of Apriori Algorithm [PDF]
, 2016 Data mining is a process of finding out the most frequent patterns from a large set of dataset. Association rule mining is an important technique in data mining.
, Anneshya Ghosh, Ambar Dutta
core +1 more source
Energy 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 Frequent Patterns Mining Algorithm based on Apriori Algorithm and the FP-tree Structure [PDF]
, 2008 Association rule mining is to find association relationships among large data sets. Mining frequent patterns is an important aspect in association rule mining.
Jiemin Zheng +7 more
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An Efficient Association Rules Algorithms for Medical Test Analysis [PDF]
Engineering 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
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Intrusion detection model based on fuzzy theory and association rules
Dianxin 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]
International 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
Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis
مجلة بغداد للعلوم, 2021 This work aims to see the positive association rules and negative association rules in the Apriori algorithm by using cosine correlation analysis.
Dewi Wisnu Wardani
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Phytotherapy Research, EarlyView.The translational research framework integrating TCM for RA. The figure outlines a stepwise framework for the modernization and clinical translation of TCM in RA. Part 1 highlights the inheritance and development of TCM theory, including classical medical texts, traditional herbal knowledge, and syndrome differentiation–based treatment principles. Part
Jianting Wen +4 more
wiley +1 more source
Responsive 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