Search Results - (( strategy implementation mining algorithm ) OR ( java application tree algorithm ))
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RARE: mining colossal closed itemset in high dimensional data
Published 2018“…With that, this paper investigated the strategies implemented in both row and column enumerationbased algorithms, hence proposing the RARE; a breadth-first bottom-up row-enumeration algorithm, in mining colossal closed itemsets in high-dimensional data…”
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Data mining techniques for transformer failure prediction model: A systematic literature review
Published 2023Conference Paper -
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Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…Depth first strategy and vertical counting strategy are used in mining frequent patterns and computing the support of the patterns respectively. …”
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A novel approach to data mining using simplified swarm optimization
Published 2011“…Therefore, the proposed SSO rule-based classifier with local search strategies has offered a new paradigm shift in solving complex problems in data mining which may not be able to be solved by other benchmark classifiers.…”
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Finding objects with segmentation strategy based multi robot exploration in unknown environment
Published 2013“…Both algorithm implemented and analyzed in Player/Stage simulation. …”
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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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Discovering decision algorithm from a distance relay event report
Published 2009“…In this study rough-set-based data mining strategy was formulated to discover distance relay decision algorithm from its resident event report. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Application model of k-means clustering: Insights into promotion strategy of vocational high school
Published 2023“…Data mining techniques in this initiative were applied to achieve in determining the promotional strategy. …”
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Mining Sequential Patterns using I-PrefixSpan
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Propositional satisfiability method in rough classification modeling for data mining
Published 2002“…The improved search strategy implemented the non-chronological backtracking search that potentially prunes the large portion of search space. …”
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The implementation of market basket analysis in menu association model for Corm Café / Nur Amalina Kamarulzaman
Published 2018“…To find the frequent item mining, the researcher had proposed some efficient algorithm which is FP-Growth. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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Intrusion detection system for the internet of things based on blockchain and multi-agent systems
Published 2020“…This research focusses on the design, implementation and testing of an intrusion detection system which uses a hybrid placement strategy based on a multi-agent system, blockchain and deep learning algorithms. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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Ranking-based pruning and weighted support model for gene association in frequent itemsets / Sofianita Mutalib
Published 2019“…High dimensional dataset presented by SNPs confirmed the reason to apply row enumeration strategy algorithm to mine frequent closed itemsets. …”
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