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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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  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
    An optimized aggregate marker algorithm for bandwidth fairness improvement in classifying traffic networks

    An optimized aggregate marker algorithm for bandwidth fairness improvement in classifying traffic networks by Al-Kharasani, Ameen Mohammed Abdulkarem, Othman, Mohamed, Abdullah, Azizol, Kweh, Yeah Lun

    Published 2016
    “…This article analyses and evaluates a new time sliding window traffic marker algorithm called the Optimized time sliding window Three Colour Marker (OtswTCM). …”
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  5. 5
    Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network

    Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network by Abu-Khadrah, Ahmed Ismail Mohammad

    Published 2017
    “…Through the proposed algorithm, the Minimum Contention Window (CWmin) and Arbitration Inter Frame Space (AIFS) parameters were adapted based on the percentage of the collision in the network. …”
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  6. 6
    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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  7. 7
    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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  8. 8
    Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm

    Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm by Muthana, Shatha Abdulhadi, Ku Mahamud, Ku Ruhana

    Published 2023
    “…In any metaheuristic, the parameter values strongly affect the efficiency of an algorithm’s search. …”
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  9. 9
    Design of intelligent Qira’at identification algorithm

    Design of intelligent Qira’at identification algorithm by Kamarudin, Noraziahtulhidayu

    Published 2017
    “…The process of the SPAP Algorithm is to extend parameters of the Affine Projection Block with two different selections of windowing length that affect the final accuracy on pattern classification. …”
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  10. 10
    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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  11. 11
    Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model

    Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model by Raja Wahab, Raja Azhan Syah

    Published 2024
    “…The algorithm development combines the frameworks from Phases 1 to 3, evaluating real and synthetic datasets. …”
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  12. 12
    Fair bandwidth distribution marking and scheduling algorithm in network traffic classification

    Fair bandwidth distribution marking and scheduling algorithm in network traffic classification by Al-Kharasani, Ameen Mohammed Abdulkarem

    Published 2019
    “…Second, propose an Optimized Time Sliding Window based Three Colour Marker. Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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  13. 13
    Efficient back-off mechanism for multimedia support in IEEE 802.11E

    Efficient back-off mechanism for multimedia support in IEEE 802.11E by Al-Nuaimi, Aws Ali Shakir

    Published 2012
    “…The performance evaluations are conducted by using NS-2 simulator. The simulation results demonstrate that the proposed algorithm has greatly outperformed the previous mechanisms such as the non-linear dynamic adaptation scheme of the minimum contention window (CWmin HA), dynamic adaptation algorithm of the maximum contention window (CWmax adaptation), Adaptive Enhanced Distributed Coordination Function (AEDCF), Random adaptive MAC parameters scheme RAMPS and the conventional EDCA mechanism. …”
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  14. 14
    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani

    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

    Published 2015
    “…The urban growth images obtained are analysed to improve existing classification algorithms. The improved algorithm is constructed by adding new parameter and classification rule to existing algorithm. …”
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  15. 15
    An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection

    An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection by Algriree, Waleed, Sulaiman, Nasri, Isa, Maryam, Sahbudin, Ratna K. Z., Hassan, Siti L. M., Hmood Salman, Emad, Alghrairi, Mokhalad

    Published 2022
    “…Then, the Hann algorithm is employed to window the traffic signal, and facilitates damping the MIMO impact for different waveforms. …”
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  16. 16
    An efficient battery lifetime aware power saving (EBLAPS) mechanism in IEEE 802.16e networks

    An efficient battery lifetime aware power saving (EBLAPS) mechanism in IEEE 802.16e networks by Saidu, Ibrahim, Subramaniam, Shamala, Jaafar, Azmi, Ahmad Zulkarnain, Zuriati

    Published 2015
    “…The battery lifetime-aware power saving (BLAPS) scheme has been created to prolong the battery life of an MSS by adaptively adjusting the three-sleep parameters named idle threshold, initial sleep window, and final sleep window according to the residual energy and the traffic load. …”
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  17. 17
    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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  18. 18
    An efficient backoff algorithm for IEEE 802.15.4 wireless sensor networks

    An efficient backoff algorithm for IEEE 802.15.4 wireless sensor networks by Dahham, Zahraa, Sali, Aduwati, Mohd Ali, Borhanuddin

    Published 2014
    “…EBA-15.4MAC is designed based on two new techniques; firstly, it updates the contention window size based on the probability of collision parameter. …”
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  19. 19
    Orthogonal Frequency Division Multiple Access resource unit allocation algorithms for IEEE 802.11AX medium access control protocol

    Orthogonal Frequency Division Multiple Access resource unit allocation algorithms for IEEE 802.11AX medium access control protocol by Zazali, Azyyati Adiah

    Published 2024
    “…The simulation results demonstrated that the proposed algorithms significantly outperformed the benchmark algorithms across several metrics. …”
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  20. 20
    Hearing disorder detection using auditory evoked potential (AEP) signals

    Hearing disorder detection using auditory evoked potential (AEP) signals by Islam, Md Nahidul, Norizam, Sulaiman, Rashid, Mamunur, Bari, Bifta Sama, Mahfuzah, Mustafa

    Published 2020
    “…Ten different statistical features have been extracted in ten different time window length (one second to ten seconds). The obtained feature sets have been classified by the K-Nearest Neighbors (K-NN) algorithm. …”
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