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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
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    Thesis
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  2. 2
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  3. 3
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    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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  4. 4
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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  5. 5
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    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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  6. 6
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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    Citation Index Journal
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  7. 7
    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms

    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

    Published 2005
    “…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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  8. 8
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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  9. 9
    The study of stemming algorithm on Malay words that begin with alphabets P, Q, Y, and Z from the translated Al-Quran / Suriani Mat

    The study of stemming algorithm on Malay words that begin with alphabets P, Q, Y, and Z from the translated Al-Quran / Suriani Mat by Mat, Suriani

    Published 2001
    “…This involves the use of two combinations simultaneously such as the pair combination of 1234 as primary combinations and 3124 as the secondary. …”
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  10. 10
    To improve stemming algorithm on Malay words begin with alphabet B / Norasiah Ismail

    To improve stemming algorithm on Malay words begin with alphabet B / Norasiah Ismail by Ismail, Norasiah

    Published 2001
    “…This involves the use of two combinations simultaneously such as the pair combination of prefix-suffix-prefix suffix-infix as primary combinations and prefix suffix-suffix-prefix-infix as the secondary. …”
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  11. 11
    Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour

    Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour by Pebrianti, Dwi, Ariawan, Angga, Bayuaji, Luhur, Mahdiana, Deni, ,, Rusdah

    Published 2022
    “…With a combination of Naive Bayes and k-NN algorithms, the accuracy value is increasing to 86%. …”
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    Proceeding Paper
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  12. 12
    Controller placement mechanism in software defined network using k-median algorithm

    Controller placement mechanism in software defined network using k-median algorithm by Fahad, Noor Saad

    Published 2016
    “…First, comparing to greedy algorithm that computes the combinations according to the order of the nodes and calculates the best values at each step, and the results were identical. …”
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  13. 13
    An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit

    An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit by Abdullah Bamatraf, Abdullah Omar

    Published 2012
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  14. 14
    The Development of an Algorithm to Determine Axial Capacity of Piles from SPT N-Values

    The Development of an Algorithm to Determine Axial Capacity of Piles from SPT N-Values by Ambrose, Jasmin

    Published 2000
    “…The combined calibrated formulae (The Algorithm) were later tested using five static loading test results. …”
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  15. 15
    SVD-gorank: Recommender system algorithm using SVD and gower's ranking

    SVD-gorank: Recommender system algorithm using SVD and gower's ranking by Saifudin, Ilham, Widiyaningtyas, Triyanna, Zaeni, Ilham Ari Elbaith, Aminuddin, Afrig

    Published 2025
    “…Recently, a ranking algorithm that combines user rating values from SVD (Singular Value Decomposition) and user similarity values has been proposed. …”
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  16. 16
    Committee neural networks with fuzzy genetic algorithm.

    Committee neural networks with fuzzy genetic algorithm. by Jafari , S.A., Mashohor , Syamsiah, Varnamkhasti, M. Jalali

    Published 2011
    “…A bi-linear allocation lifetime approach is used to label the chromosomes based on their fitness value, which will then be used to characterize the diversity of the population. …”
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  17. 17
    Extensions to the K-AMH algorithm for numerical clustering

    Extensions to the K-AMH algorithm for numerical clustering by Seman, Ali, Mohd Sapawi, Azizian

    Published 2018
    “…The original k-AMH algorithm for categorical values uses a simple matching dissimilarity measure, but for numerical values it uses Euclidean distance. …”
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  18. 18
    A new digital watermarking algorithm using combination of Least Significant Bit (LSB) and inverse bit

    A new digital watermarking algorithm using combination of Least Significant Bit (LSB) and inverse bit by Bamatraf, Abdullah, Ibrahim, Rosziati, Mohd. Salleh, Mohd. Najib

    Published 2011
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  19. 19
    Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis

    Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis by Abouhasera, Mohamed Khalid Mohamed

    Published 2017
    “…To overcome these concerns, we present enhanced algorithms for load flow analysis by combining Gauss-Seidel and Newton-Raphson methods that incorporate constant Jacobian to give a more dependable method with tolerable accuracy and shorter computation time.…”
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    Monograph
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  20. 20
    To enhance existing Malay stemming algorithm starting with the letter 'D' / Mohd Nazril Hafez Mohd Supandi

    To enhance existing Malay stemming algorithm starting with the letter 'D' / Mohd Nazril Hafez Mohd Supandi by Mohd Supandi, Mohd Nazril Hafez

    Published 2000
    “…In which it involves the use of two combinations simultaneously such as the pair combination of 1234 as primary combination and 2341 as the secondary. …”
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