Search Results - (( data generation mining algorithm ) OR ( parallel simulation based algorithm ))
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…The results showed that the parallel algorithms for EHD simulations may provide 4 to 5 times more speedup over sequential algorithm for large grid sizes. …”
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Thesis -
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Direct approach for mining association rules from structured XML data
Published 2012“…It searches for similarities among large database. “Web mining” refer to how we can apply the traditional mining techniques that works on relational data and bind it to new data input represented in XML data which might be semi structure or unstructured. …”
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3
Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…Association rule mining is one of the data mining techniques which discovers strong association or correlation relationships among data. …”
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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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Evaluation of data mining models for predicting concrete strength
Published 2024“…Data mining techniques are becoming more popular in recent years due to their abilities to predict any types of data with high accuracy. …”
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Final Year Project / Dissertation / Thesis -
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Comparative study of apriori-variant algorithms
Published 2016“…Handling and processing this “big data” demand powerful data mining methods and analysis tools that can turn data into useful knowledge. …”
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Conference or Workshop Item -
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
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Final Year Project -
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HYBRID: an efficient unifying process to mine frequent itemsets
Published 2018“…Algorithms to mine frequent itemsets effectively help in finding association rules and also help in many other data mining tasks. …”
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Proceeding Paper -
10
High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems
Published 2007“…The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
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Enhancing Secure Sockets Layer Bulk Data Trnsfer Phase Performance With Parallel Cryptography Algorithm
Published 2007“…Based on the performance simulations, the new parallel algorithm gained speedup of 1.74 with 85% efficiency over the current sequential algorithm. …”
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12
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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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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14
High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
Published 2007“…The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
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15
High performance visualization of human tumor growth software
Published 2008“…The implementation of parallel algorithm based on parallel computing system is used to visualize the growth of human tumour. …”
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Conference or Workshop Item -
16
Propositional satisfiability algorithm to find minimal reducts for data mining
Published 2002“…Reduct is a rough set approach in data mining that determines the set of important attributes to represent the IS. …”
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Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)
Published 2010“…The parallel algorithm for the simulation of human tumor growth is a new invention at the present time. …”
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Book -
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An association rule mining approach in predicting flood areas
Published 2017“…Malaysian Drainage and Irrigation Department supplied the dataset which were the flood area, water level and rainfall data. The association rules mining technique will generate the best rules from the dataset by using Apriori algorithm which had been applied to find the frequent itemsets. …”
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Conference or Workshop Item -
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Performance of IF-Postdiffset and R-Eclat Variants in Large Dataset
Published 2018“…The multiple variants in the R-Eclat algorithm generate varied performances in infrequent mining patterns. …”
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Evaluation and optimization of frequent association rule based classification
Published 2014“…Works on sustaining the interestingness of rules generated by data mining algorithms are actively and constantly being examined and developed. …”
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