Search Results - (( java implementation among algorithm ) OR ( pattern solution mining algorithm ))
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1
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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Using unique-prime-factorization theorem to mine frequent patterns without generating tree
Published 2011“…For huge database it may need to generate a huge number of candidate sets. An interest solution is to design an approach that without generating candidate is able to mine frequent patterns. …”
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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Trajectory pattern mining via clustering based on similarity function for transportation surveillance
Published 2016“…One of the solutions is to group the vehicle trajectory data according to the shape of the patterns. …”
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A partition based feature selection approach for mixed data clustering / Ashish Dutt
Published 2020“…One such pre-processing algorithm in EDM is clustering. It is a widely used method in data mining to discover unique patterns in underlying data. …”
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Data Classification and Its Application in Credit Card Approval
Published 2004“…Many intensive researches have been conducted to enhance the capability of data mining solution in providing the intelligence so that different types of businesses can make informed decisions. …”
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Final Year Project -
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Secondly, the CTI dataset, which has been proven by the existing research work as a more suitable Web server logs in the term of Web page recommendation quality, is used for measuring the performance of the proposed modified algorithm for Web page recommendation system. The experiment is divided into three interdependent stages of usage mining process, namely: data preparation, pattern discovery, and recommendation. …”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
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Profiling network traffic of Sultan Idris Shah building (BSIS) using data mining technique / Rusmawati Ishak
Published 2018“…Orange is a tool that being used in implementing K-Means Clustering Algorithm that could be seen as the most suitable solution to find a network trend pattern of user accessing the Internet and to produce with profiling network. …”
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14
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…According to the simulation results, the proposed algorithm produces the best solution among all algorithms in the proposed cases. � 2021 Little Lion Scientific…”
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Optimizing OLAP heterogeneous computing based on Rabin-Karp algorithm
Published 2013“…Keywords— OLAP, heterogeneous computing, Rabin-Karp, data mining, pattern recognition.…”
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Proceeding Paper -
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An improved ACS algorithm for data clustering
Published 2020“…Data clustering is a data mining technique that discovers hidden patterns by creating groups (clusters) of objects. …”
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Network game (Literati) / Chung Mei Kuen
Published 2003“…The main aspect of this thesis is to produce a networked gaming system, which process players. requested to play the game and enabling users to play the graphical game with people through the network. The algorithm design and implementation method must not only be workable, but also highly efficient in terms of execution speed and response time. …”
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An Improved Artificial Dendrite Cell Algorithm for Abnormal Signal Detection
Published 2018“…In dendrite cell algorithm (DCA), the abnormality of a data point is determined by comparing the multi-context antigen value (MCAV) with anomaly threshold. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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An improved artificial dendrite cell algorithm for abnormal signal detection
Published 2018“…In dendrite cell algorithm (DCA), the abnormality of a data point is determined by comparing the multi-context antigen value (MCAV) with anomaly threshold. …”
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