Results 21 to 30 of about 3,287 (180)
Analysis and research on library user behavior based on apriori algorithm
Measurement: Sensors, 2023 This paper discusses the analysis and research of library user behavior based on Apriori optimization algorithm. This algorithm can be used to analyze the borrowing behavior of users in the library.
Xiaoying Zhang, Jian Zhang
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Research on sensor network optimization based on improved Apriori algorithm
EURASIP Journal on Wireless Communications and Networking, 2018 Traditional node deployment strategies have problems such as slow deployment, small coverage, and poor service quality. Based on this, this study improves the traditional Apriori.
Qiang Ji, Shifeng Zhang
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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
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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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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
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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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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
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Energy Science &Engineering, EarlyView.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
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Democratising Multi‐Projector Displays
Computer Graphics Forum, EarlyView.Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
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Positive and negative association rule mining in Hadoop’s MapReduce environment
Journal of Big Data, 2019 In this paper, we present a Hadoop implementation of the Apriori algorithm. Using Hadoop’s distributed and parallel MapReduce environment, we present an architecture to mine positive as well as negative association rules in big data using frequent ...
Sikha Bagui, Probal Chandra Dhar
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