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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The Apriori Stochastic Dependency Detection (ASDD) algorithm for learning Stochastic logic rules [PDF]
, 2004 Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environment.
Child, C. H. T., Stathis, K.
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Performance analysis of modified algorithm for finding multilevel association rules
, 2013 Multilevel association rules explore the concept hierarchy at multiple levels which provides more specific information. Apriori algorithm explores the single level association rules. Many implementations are available of Apriori algorithm.
Jain, R. C., Shrivastava, Arpna
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SENATUS: An Approach to Joint Traffic Anomaly Detection and Root Cause Analysis [PDF]
, 2017 In this paper, we propose a novel approach, called SENATUS, for joint traffic anomaly detection and root-cause analysis. Inspired from the concept of a senate, the key idea of the proposed approach is divided into three stages: election, voting and ...
Abdelkefi, Atef +2 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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Observations on Factors Affecting Performance of MapReduce based Apriori on Hadoop Cluster
, 2017 Designing fast and scalable algorithm for mining frequent itemsets is always being a most eminent and promising problem of data mining. Apriori is one of the most broadly used and popular algorithm of frequent itemset mining.
Garg, Rakhi +2 more
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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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Mining Frequent Itemsets Using Genetic Algorithm
, 2010 In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm etc., which take too much computer time to compute all the frequent ...
Biswas, Sushanta +3 more
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