Search Results - (( program search based algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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String matching algorithms: to search and compare longest common subsequence strings retrieved from Wagner & Fischer and Hirschberg algorithms on Malay dictionary words / Mohd Razi...
Published 1999“…These are the Wagner & Fischer and Hirschberg algorithms. These methods were chosen because they are based on dynamic programming. …”
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Thesis -
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Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis
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Thesis -
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Evaluation of fast evolutionary programming, firefly algorithm and mutate-cuckoo search algorithm in single-objective optimization / Muhammad Zakyizzuddin Rosselan, Shahril Irwan S...
Published 2016“…FEP and MCSA are based on the conventional Evolutionary Programming (EP) and Cuckoo Search Algorithm (CSA) with modifications and adjustment to boost up their search ability. …”
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Genetic Algorithm for Web Data Mining
Published 2001“…This study used a prototype program based on genetic algorithm to manipulate the initial set of data. …”
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Project Paper Report -
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A guided dynamic programming approach for DNA sequence similarity search
Published 2011“…An optimal alignment process based on the dynamic programming algorithms has shown to have 0(n x m) time and space complexity. …”
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Thesis -
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Evaluation of the effectiveness and efficiency of Wagner and Fischer algorithm in retrieving Hadith translated documents / Kamarul Arifin Muhamad
Published 2002“…The method is used in developing search engine because of its speed and efficiency since it is based on dynamic programming. …”
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Thesis -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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Conference or Workshop Item -
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Overview of metaheuristic: classification of population and trajectory
Published 2010“…The algorithm techniques can be characterized based on the criteria of the operation of the search process. …”
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Monograph -
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Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…Genetic Algorithm as population-based methods are better identifying promising areas in the search space, while Tabu Search and Simulated Annealing as trajectory methods are better in exploring promising areas in search space. …”
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Monograph -
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A combined filter line search and trust region method for nonlinear programming
Published 2006“…In the event when the step size has reached a minimum threshold such that the trial iterate is rejected by the filter, the algorithm temporarily exits to a trust region based algorithm to generate iterates that approach the feasible region and also acceptable to the filter. …”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…Whereas the process of examining through the web pages, retrieving and searching the relevant data in a liTML page, and selecting the best satisfying data are based on the features and operations of the Genetic Algorithms.…”
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Thesis -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
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Thesis -
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Metaheuristic Algorithms Based on Compromise Programming for the Multi-Objective Urban Shipment Problem
Published 2022“…We evaluated the effectiveness of the proposed algorithm with the Tabu Search algorithm and the original genetic algorithm on the tested dataset. …”
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