Search Results - (( java implication _ algorithm ) OR ( using graph ((using algorithm) OR (mining algorithm)) ))

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  1. 1
    Frequent itemset mining using graph theory / Mohammad Arsyad Mohd Yakop

    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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  2. 2
    Web user navigation pattern mining approach based on graph partitioning algorithm.

    Web user navigation pattern mining approach based on graph partitioning algorithm. by Jalali, Mehrdad, Mustapha, Norwati, Mamat, Ali, Sulaiman, Md. Nasir

    Published 2008
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  3. 3
    Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob

    Predicting future sales using genetic algorithm: data mining sales / Siti Hajar Yaacob by Yaacob, Siti Hajar

    Published 2014
    “…The main purpose of this research to test whether Genetic Algorithm can use to predict future sales and be able generates the graph. …”
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  4. 4
    Dissimilarity algorithm on conceptual graphs to mine text outliers

    Dissimilarity algorithm on conceptual graphs to mine text outliers by Kamaruddin, Siti Sakira, Hamdan, Abdul Razak, Abu Bakar, Azuraliza, Mat Nor, Fauzias

    Published 2009
    “…The graphical text representation method such as Conceptual Graphs (CGs) attempts to capture the structure and semantics of documents.As such, they are the preferred text representation approach for a wide range of problems namely in natural language processing, information retrieval and text mining.In a number of these applications, it is necessary to measure the dissimilarity (or similarity) between knowledge represented in the CGs.In this paper, we would like to present a dissimilarity algorithm to detect outliers from a collection of text represented with Conceptual Graph Interchange Format (CGIF).In order to avoid the NP-complete problem of graph matching algorithm, we introduce the use of a standard CG in the dissimilarity computation.We evaluate our method in the context of analyzing real world financial statements for identifying outlying performance indicators.For evaluation purposes, we compare the proposed dissimilarity function with a dice-coefficient similarity function used in a related previous work.Experimental results indicate that our method outperforms the existing method and correlates better to human judgements. …”
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  5. 5
    A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining

    A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining by Jalali, Mehrdad

    Published 2009
    “…The approach in the offline phase is based on the new graph partitioning algorithm to model user navigation patterns for the navigation patterns mining. …”
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  6. 6
    Using graph algorithm and classification technique for finding an optimal bus route in time-dependent travel times

    Using graph algorithm and classification technique for finding an optimal bus route in time-dependent travel times by Deelertmongkolchai, Satjayod, Chumwatana, Todsanai, Thaiupathump, Choonhapong

    Published 2016
    “…However, they are suffering from the long hours in traffic jam especially in rush hour.They also cannot avoid this such jam as bus routes are fixed by Bangkok Mass Transit Authority (BMTA).This paper aims to propose a technique for finding an Optimal Bus Route in Time-Dependent Travel Times by using graph algorithm and data mining technique. …”
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  7. 7
    Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining

    Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining by Mohd Hanafi Ahmad Hijazi, Chuntao Jiang, Frans Coenen, Yalin Zheng

    Published 2011
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  8. 8
    Automatic clustering of gene ontology by genetic algorithm

    Automatic clustering of gene ontology by genetic algorithm by Othman, Razib M., Deris, Safaai, Zakaria, Zalmiyah, Illias, Rosli M., Mohamad, Saberi M.

    Published 2006
    “…Clustering the Gene Ontology is a difficult combinatorial problem and can be modeled as a graph partitioning problem. Additionally, deciding the number k of clusters to use is not easily perceived and is a hard algorithmic problem. …”
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  9. 9
    A hybrid local search algorithm for minimum dominating set problems

    A hybrid local search algorithm for minimum dominating set problems by Abed, S.A., Rais, H.M., Watada, J., Sabar, N.R.

    Published 2022
    “…This algorithm focuses on generating promising solutions in different areas of the solution space using the problem search history. …”
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  10. 10
    A hybrid local search algorithm for minimum dominating set problems

    A hybrid local search algorithm for minimum dominating set problems by Abed, S.A., Rais, H.M., Watada, J., Sabar, N.R.

    Published 2022
    “…This algorithm focuses on generating promising solutions in different areas of the solution space using the problem search history. …”
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  11. 11
    WebPUM : a web-based recommendation system to predict user future movements.

    WebPUM : a web-based recommendation system to predict user future movements. by Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2010
    “…The approach is based on the new graph partitioning algorithm to model user navigation patterns for the navigation patterns mining phase. …”
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  12. 12
    Random sampling method of large-scale graph data classification

    Random sampling method of large-scale graph data classification by Rashed Mustafa, Mohammad Sultan Mahmud, Mahir Shadid

    Published 2024
    “…Finally, we classified the graphs of data blocks using the SVM algorithm. In experimental evaluation, our proposed method outperformed state-of-the-art graph kernels on graph classification datasets in terms of accuracy.…”
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  13. 13
    Deviation detection in text using conceptual graph interchange format and error tolerance dissimilarity function

    Deviation detection in text using conceptual graph interchange format and error tolerance dissimilarity function by Kamaruddin, Siti Sakira, Hamdan, Abdul Razak, Abu Bakar, Azuraliza, Mat Nor, Fauzias

    Published 2012
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  14. 14
    Unapparent information revelation for counterterrorism: Visualizing associations using a hybrid graph-based approach

    Unapparent information revelation for counterterrorism: Visualizing associations using a hybrid graph-based approach by Zamin, Norshuhani, Oxley, Alan

    Published 2012
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  15. 15
    Concept Based Lattice Mining (CBLM) using Formal Concept Analysis (FCA) for text mining

    Concept Based Lattice Mining (CBLM) using Formal Concept Analysis (FCA) for text mining by Mumtazimah, Mohamad, Hassan, H., Mohd Saman, M.Y, Abdullah, Z.

    Published 2019
    “…This study proposes a model that enables query matching using output lattices from Formal Concept Analysis (FCA) tool, based on Graph Theory. …”
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  16. 16
    Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining

    Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining by Hasni, Hassan, Mumtazimah, Mohamad, Md Yazid, Mohamad Saman

    Published 2019
    “…This study proposes a model that enables query matching using output lattices from Formal Concept Analysis (FCA) tool, based on Graph Theory. …”
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  17. 17
    Enhancement of text representation for Indonesian document summarization with deep sequential pattern mining

    Enhancement of text representation for Indonesian document summarization with deep sequential pattern mining by Dian Sa’adillah Maylawati

    Published 2023
    “…First, this study combines SPM with Sentence Scoring method as feature-based approach and Bellman-Ford algorithm as graph-based to validate the performance of SPM. …”
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  18. 18
    Collective interaction filtering with graph-based descriptors for crowd behaviour analysis

    Collective interaction filtering with graph-based descriptors for crowd behaviour analysis by Wong, Pei Voon

    Published 2018
    “…The group detection experiment is implemented using the clustering algorithm. Normalized Mutual Information and Rand Index are used to measure the performance of Collective Interaction Filtering. …”
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  19. 19
    Accelerating graph algorithms with priority queue processor

    Accelerating graph algorithms with priority queue processor by Heng Sun, Ch'ng, Eik Wee, Chew, Shaikh-Husin, Nasir, Hani, Mohamed Khalil

    Published 2006
    “…In this work, we demonstrate how to accelerate graph algorithms using priority queue processor. …”
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  20. 20
    Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python

    Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python by Arifin, Samsul, Muktyas, Indra Bayu, Al Maki, Wikky Fawwaz, Mohd Khairul Bazli, Mohd Aziz

    Published 2022
    “…Graph coloring has a wide range of applications and is commonly used to solve scheduling issues. …”
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