Search Results - (( based associate rule algorithm ) OR ( java implication based algorithm ))
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1
Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure
Published 2011“…The discovered decision algorithm and association rule from the Rough-Set based data mining had been compared with and successfully validated by those discovered using the benchmarking Decision-Tree based data mining strategy. …”
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Rough-Set-and-Genetic-Algorithm based data mining and Rule Quality Measure to hypothesize distance protective relay operation characteristics from relay event report
Published 2011“…Subsequently, the Rule Quality Measure, combined with rule interestingness and importance judgment, deduces the relay CD-decision algorithm to the desired relay CD-association rule. …”
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3
A performance analysis of association rule mining algorithms
Published 2016“…Mainly, and according to a previous work, we studied the performance of two main association rules algorithms which exhibits best results interms of execution time and memory usage: Binary-Based algorithm, and Eclat algorithm. …”
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4
A Rough-Apriori Technique in Mining Linguistic Association Rules
Published 2008“…It uses the rough membership function to capture the linguistic interval before implementing the Apriori algorithm to mine interesting association rules. The performance of conventional quantitative association rules mining algorithm with Boolean reasoning as the discretization method was compared to the proposed technique and the fuzzy-based technique. …”
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5
Discovering association rules for mining images datasets: a proposal
Published 2005“…Finally, the association rules will determine using an adaptation of the Apriori Algorithm. …”
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6
Evaluation and optimization of frequent, closed and maximal association rule based classification
Published 2014“…On the other hand maximal itemset based association rules, that are a subset of closed itemset based rules, show to be insufficient in this regard, and typically will have worse recall and generalization power. …”
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Direct approach for mining association rules from structured XML data
Published 2012“…The implementation details shows the difference in accessing and manipulating XML v documents using java based parsers and query languages for XML and the steps needed to access an XML document until we produce a list of association rules . …”
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8
Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea
Published 2017“…An improved Boosting algorithm, named as Boosted PARM-DT, was developed by pre-pruning techniques and Associative Rule Mining (ARM) on decision trees built from the clinical datasets** collected for Obstructive Sleep Apnea (OSA). …”
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9
A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining
Published 2015“…This project implement the collaborative filtering using slope-one algorithm and also implement association rule mining in recommending hotels for tourist. …”
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Exploratory analysis with association rule mining algorithms in the retail industry / Alaa Amin Hashad ... [et al.]
Published 2024“…To address this, missing customer IDs are filled with the last valid ID, assuming repeated purchases. The FP-Growth algorithm was found to be faster and more effective than the Apriori algorithm in extracting frequent item sets and generating association rules. …”
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Improved Malware detection model with Apriori Association rule and particle swarm optimization
Published 2019“…In this method, the candidate detectors generated by particle swarm optimization form rules using apriori association rule. These rule models are used together with extraction algorithm to classify and detect malicious android application. …”
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Mining dense data: Association rule discovery on benchmark case study
Published 2016“…In this article, we present comparison result between Apriori and FP-Growth algorithm in generating association rules based on a benchmark data from frequent itemset mining data repository. …”
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Using fuzzy association rule mining in cancer classification
Published 2011“…In addition, creating a fuzzy classifier with high performance in classification that uses a subset of significant genes which have been selected by different types of gene selection methods is another goal of this study. A new algorithm has been developed to identify the fuzzy rules and significant genes based on fuzzy association rule mining. …”
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Breast cancer detection by using associative classifier with rule refinement method based on relevance feedback
Published 2022“…However, the effectiveness of an associative classifier depends largely on the generalized rules based on training data. …”
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Algorithm for the legal regulation of internet financial crime
Published 2024“…Similarly, association rules showed a strong correlation between the test and experimental samples, further validating the predictive capabilities of the algorithms. …”
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Web usage mining for UUM learning care using association rules
Published 2004“…With the powerful of data mining technique, Web usage mining approach has been combined with the basic Association Rules, Apriori Algorithm to optimize the content of the university E�Learning portal. …”
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Web Usage Mining for UUM Learning Care Using Association Rules
Published 2004“…In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. Web usage mining consists of three main phases, namely Data Preprocessing. …”
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19
Detecting Duplicate Entry in Email Field using Alliance Rules-based Algorithm
Published 2016“…The paper characterizes the alliance rules based on the concept of mathematical association rules to determine the duplicate entries in email column in data sets.…”
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A Performance Evaluation of Chi-Square Pruning Techniques in Class Association Rules Optimization
Published 2018“…The noisy data affected support value of an itemset and so it influenced the performance of an associative classification. The performance of associative classification is relied on the classification where the classification is worked based on the class association rules which generated from frequent rule mining process. …”
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