Search Results - (( pattern mining algorithm ) OR ((( patterns a algorithm ) OR ( patterns bayes algorithm ))))
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The analysis of road traffic fatality pattern for Selangor, Malaysia case study
Published 2021“…Supervised machine learning algorithm in Orange data mining software was considered in this analysis. …”
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First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms
Published 2014“…From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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Comparative study of machine learning algorithms in data classification
Published 2025“…In many different fields, data mining, the process of identifying significant patterns in historical data, is essential to decision-making. …”
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Cyber fraud profiling with routine activity theory using data mining techniques / Sunardi, Abdul Fadlil and Nur Makkie Perdana Kusuma
Published 2023“…This study aims to create a cyber-fraud pattern based on a profile created from RAT. …”
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Data mining techniques for disease risk prediction model: A systematic literature review
Published 2023Conference Paper -
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Modifying iEclat algorithm for infrequent patterns mining
Published 2018“…A few parts of this algorithm need a modification to assure that it is suitable for mining infrequent pattern. …”
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Modifying iEclat algo ithm for infrequent patterns mining
Published 2018“…A few parts of this algorithm need a modification to assure that it is suitable for mining infrequent pattern. …”
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Performance of IF-Postdiffset and R-Eclat Variants in Large Dataset
Published 2018“…Pattern mining refers to a subfield of data mining that uncovers interesting, unexpected, and useful patterns from transaction databases. …”
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Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…An algorithm called Flex (Frequent lexicographic patterns) has been proposed in obtaining a good performance of searching li-equent patterns. …”
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Algorithms for frequent itemset mining: a literature review
Published 2018“…This paper reviews and presents a comparison of different algorithms for Frequent Pattern Mining (FPM) so that a more efficient FPM algorithm can be developed. …”
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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…During the mining process, the mining algorithm reduces the number of candidate patterns and comparisons by using a new candidate set called candidate head set and several efficient pruning techniques. …”
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DFP-growth: An efficient algorithm for mining frequent patterns in dynamic database
Published 2012“…Mining frequent patterns in a large database is still an important and relevant topic in data mining. …”
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A frequent pattern mining algorithm based on FP-growth without generating tree
Published 2010“…An interesting method to frequent pattern mining without generating candidate pattern is called frequent-pattern growth, or simply FP-growth, which adopts a divide-and-conquer strategy as follows. …”
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A frequent pattern mining algorithm based on FP-growth without generating tree
Published 2010“…It then divides the compressed database into a set of conditional databases (a special kind of projected database), each associated with one frequent item or pattern fragment, and mines each such database separately.For a large database, constructing a large tree in the memory is a time consuming task and increase the time of execution.In this paper we introduce an algorithm to generate frequent patterns without generating a tree and therefore improve the time complexity and memory complexity as well.Our algorithm works based on prime factorization, and is called Frequent Pattern- Prime Factorization (FPPF).…”
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A numerical method for frequent pattern mining
Published 2009“…Frequent pattern mining is one of the active research themes in data mining. …”
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Prime-based method for interactive mining of frequent patterns
Published 2010“…Over the past decade, an increasing number of efficient mining algorithms have been proposed to mine the frequent patterns by satisfying a user specified threshold called minimum support (minsup). …”
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18
Naive Bayes-guided bat algorithm for feature selection
Published 2023Subjects: “…Algorithms…”
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Sequential pattern mining using PrefixSpan with pseudoprojection and separator database
Published 2008“…Sequential pattern mining is a new branch of data mining science that solves inter-transaction pattern mining problems. …”
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Using unique-prime-factorization theorem to mine frequent patterns without generating tree
Published 2011“…In this study we introduce an algorithm to generate frequent patterns without generating a tree and therefore improve the time complexity and memory complexity as well. …”
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