Search Results - ((minimax algorithm) OR (mining algorithm))

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    Application of minimax algorithm in dots and boxes game by Tan, Ah Hwa

    Published 2025
    “…The methodology involved implementing the Minimax algorithm as the primary decision-making engine for the AI. …”
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    Final Year Project / Dissertation / Thesis
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    Sensor node placement based on lexicographic minimax by Abidin H.Z., Din N.Md.

    Published 2023
    “…This paper proposed a sensor nodes placement technique which is based on the lexicographic minimax algorithm. Performance study has been carried out by comparing the performance of the lexicographic minimax sensor node placement scheme with traditional minimax technique in terms of coverage ratio and uniformity. …”
    Conference paper
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    Application of a primal-dual interior point algorithm using exact second order information with a novel non-monotone line search method to generally constrained minimax optimization problems by Ahamad, Intan Salwani, Vassiliadis, Vassilios S.

    Published 2008
    “…This work presents the application of a primal-dual interior point method to minimax optimisation problems. The algorithm differs significantly from previous approaches as it involves a novel non-monotone line search procedure, which is based on the use of standard penalty methods as the merit function used for line search. …”
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    Article
  5. 5

    Knowledge-based system developement for the game congkak / Syah Ali Reza Yaacob by Yaacob, Syah Ali Reza

    Published 2006
    “…The agent will use Minimax and α-β pruning as the search algorithms. …”
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    Thesis
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    Provisioning WSN coverage via minimax based sensor node placement scheme by Zainol Abidin H., Md Din N.

    Published 2023
    “…A Sensor node placement technique which is based on the minimax algorithm is proposed where surveillance locations will be monitored by the closest sensor nodes. …”
    Conference paper
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    Applications of wavelet method in stock exchange problem by Samsul Ariffin Abdul Karim, Bakri Abdul Karim, Mohd Tahir Ismail, Mohammad Khatim Hasan, Jumat Sulaiman

    Published 2011
    “…We apply various thresholding approachs e.g., Heuristic SURE, SURE, Minimax and FixedForm method. Numerical result show that Minimax and fixed form method gives the better result.…”
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    Article
  8. 8

    Applications of Wavelet Method in Stock Exchange Problem by ABDUL KARIM, SAMSUL ARIFFIN, ABDUL KARIM, BAKRI, ISMAIL, M TAHIR, HASAN, M KHATIM, SULAIMAN, JUMAT

    Published 2010
    “…We apply various thresholding approachs e.g., Heuristic SURE, SURE, Minimax and Fixed- Form method. Numerical result show that Minimax and fixed form method gives the better result.…”
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    Book
  9. 9

    Modifying iEclat algorithm for infrequent patterns mining by Julaily Aida, J., Mustafa, M.

    Published 2018
    “…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
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    Conference or Workshop Item
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    Expectation maximization clustering algorithm for user modeling in web usage mining system by Mustapha, Norwati, Jalali, Manijeh, Jalali, Mehrdad

    Published 2009
    “…Web usage mining algorithms have been widely utilized for modeling user web navigation behavior. …”
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    Article
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    Modifying iEclat algo ithm for infrequent patterns mining by Julaily Aida, Jusoh, Mustafa, Man

    Published 2018
    “…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
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    Conference or Workshop Item
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    Clustering algorithm for market-basket analysis : the underlying concept of data mining technology by Abdul Kadir, Khairil Annuar

    Published 2003
    “…This thesis seeks to understand the underlying concept of data mining technology in market-basket analysis. The clustering algorithm based on Small Large Ratios, SLR is presented in a manner that helps to understand the concept of data mining technology in marketbasket analysis. …”
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    Thesis
  13. 13

    Efficient prime-based method for interactive mining of frequent patterns. by Mohammad Hossein, Nadimi Shahraki, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2011
    “…Since rerunning mining algorithms from scratch is very costly and time-consuming, researchers have introduced interactive mining of frequent patterns. …”
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    Article
  14. 14

    An efficient algorithm to discover large and frequent itemset in high dimensional data by Zulkurnain, Nurul Fariza

    Published 2019
    “…For this reason, this research has proposed two new algorithms; RARE and RARE II, which mine colossal closed itemsets. …”
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    Monograph
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    Performance of IF-Postdiffset and R-Eclat Variants in Large Dataset by Julaily Aida, Jusoh, Wan Aezwani, Wan Abu Bakar, Mustafa, Man

    Published 2018
    “…An abundant literature has dedicated in frequent pattern mining and tremendous efficient algorithms for frequent itemset mining in the transaction database. …”
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    Article
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    Algorithms for frequent itemset mining: a literature review by Chee, C.-H., Jaafar, J., Aziz, I.A., Hasan, M.H., Yeoh, W.

    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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    Article
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    Frequent itemset mining using graph theory / Mohammad Arsyad Mohd Yakop by Mohd Yakop, Mohammad Arsyad

    Published 2017
    “…The Directed Acyclic Graph in High Dimensional Dataset Mining (DAGHDDM) is a graph-based mining algorithm that represents itemsets in complete graph before FIM takes place. …”
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    Thesis
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    DFP-growth: An efficient algorithm for mining frequent patterns in dynamic database by Zailani, Abdullah, Herawan, Tutut, Noraziah, Ahmad, Mustafa, Mat Deris

    Published 2012
    “…Nowadays, FP-Growth is one of the famous and benchmarked algorithms to mine the frequent patterns from FP-Tree data structure. …”
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    Conference or Workshop Item
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    Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu by Pala, Tuba, Camurcu, Ali Yilmaz

    Published 2014
    “…The success evaluation of data mining classification algorithms have been realized through the data mining programs Weka and RapidMiner. …”
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    Article