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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
    Tag clouds algorithm with the inclusion of personality traits

    Tag clouds algorithm with the inclusion of personality traits by Ahmad Affandi, Supli

    Published 2015
    “…Therefore, the main objective of this study is to develop an algorithm that can adapt visual features of tag cloud layout styles based on personality traits of the user. …”
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  4. 4
    Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing

    Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing by Naha, Ranesh Kumar

    Published 2015
    “…Proposed cloud brokering algorithms works with different types of cloud provider and deal with various user requirements. …”
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  5. 5
    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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  6. 6
    Cloud Resource Management Framework Using Monarch Butterfly Harmony Search And Case Based Reasoning

    Cloud Resource Management Framework Using Monarch Butterfly Harmony Search And Case Based Reasoning by Ahmed Mohamed Ghetas, Mohamed Rezk

    Published 2017
    “…However, they are based on local search optimization algorithms, which may not obtain the best resource provisioning decision in a large-scale cloud environment. …”
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  7. 7
    Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III

    Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III by Liu, Jiajia, Zainudin, Edi Syams, As'arry, Azizan, Ismail, Mohd Idris Shah

    Published 2024
    “…This research provides valuable insights for the advancement of intelligent cloud-based 4D printing systems, paving the way for future developments in this field.…”
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  8. 8
    Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level

    Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level by Hasan Mahmoud Sha'ban Kanaker

    Published 2024
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  9. 9
    A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution

    A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution by Saydul Akbar, Murad

    Published 2023
    “…To address this issue, the main objective of this research is to improve the existing PR cloud schedulers by developing a new dynamic scheduling algorithm by manipulating the gaps in the cloud job schedule. …”
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  10. 10
    A Focal load balancer based algorithm for task assignment in cloud environment

    A Focal load balancer based algorithm for task assignment in cloud environment by Mohammed, Mostafa Abdulghfoor, Hasan, Raed Abdulkareem, Ahmed, Munef Abdullah, Tapus, Nicolae, Shnan, Marwan Ali, Khaleel, M. K., Ali, Ahmed H.

    Published 2019
    “…In this paper, a new load balancing system is presented Focal Load Balancer (F-LB), which has been developed to reduce the traffic in the Cloud, whilst assuring a smooth flow of data in the cloud network. …”
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  11. 11
    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism

    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

    Published 2025
    “…Consequently, assessing and confirming the significance of packets (data) before its synchronization with cloud storage becomes imperative. The major contribution of this work lies in the develop of Prior Evaluation Cloud Storage Cost Optimization called (PECSCO) mechanism to optimize the cloud cost with least overhead. …”
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  12. 12
    Honey bee based trust management system for cloud computing

    Honey bee based trust management system for cloud computing by Firdhous, Mohamed, Ghazali, Osman, Hassan, Suhaidi, Harun, Nor Ziadah, Abas, Azizi

    Published 2011
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  13. 13
    Enhancing user authentication for cloud web-based application / Detar Beqo

    Enhancing user authentication for cloud web-based application / Detar Beqo by Detar , Beqo

    Published 2018
    “…We have developed a cloud-based application that adapts the enhanced authentication method, and its security measurement were evaluated using IBM Application Security on Cloud tool. …”
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  14. 14
    Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers

    Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers by Khoshkholghi, Mohammad Ali, Derahman, Mohd Noor, Abdullah, Azizol, Subramaniam, Shamala, Othman, Mohamed

    Published 2017
    “…Based on the proposed algorithms, energy consumption can be reduced…”
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  15. 15
    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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  16. 16
    Priority based fair scheduling : Enhancing efficiency in cloud job distribution

    Priority based fair scheduling : Enhancing efficiency in cloud job distribution by Murad, Saydul Akbar, Zafril Rizal, M. Azmi, Brishti, Faria Jerin, Saib, Md, Bairagi, Anupam Kumar

    Published 2023
    “…To overcome this challenge, numerous researchers have focused on improving existing Priority Rule (PR) cloud schedulers by developing dynamic scheduling algorithms, but they have fallen short of meeting user satisfaction. …”
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  17. 17
    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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  18. 18
    Network tool for preventing DDOS attacks on cloud computing

    Network tool for preventing DDOS attacks on cloud computing by Yo, Kee Seng

    Published 2015
    “…Securing a cloud computing environment has been a major development in computer network. …”
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    Final Year Project Report / IMRAD
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  19. 19
    SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment

    SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment by Murad, Saydul Akbar, Zafril Rizal, M. Azmi, Muzahid, Abu Jafar Md, Bhuiyan, Md Khairul Bashar, Saib, Md, Rahimi, Nick, Prottasha, Nusrat Jahan, Bairagi, Anupam Kumar

    Published 2024
    “…To address this issue, the main objective of this research is to improve the existing Priority Rules (PR) cloud schedulers by developing a new dynamic scheduling algorithm by manipulating the gaps in the cloud job schedule. …”
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  20. 20
    A comparative evaluation of heuristic and metaheuristic job scheduling algorithms for optimized resource management in cloud environments

    A comparative evaluation of heuristic and metaheuristic job scheduling algorithms for optimized resource management in cloud environments by Haque, Najmul, Zafril Rizal, M. Azmi, Murad, Saydul Akbar

    Published 2026
    “…Overall, this study provides valuable insights for cloud service providers to enhance resource management and improve system performance by emphasizing the importance of algorithm selection based on workload characteristics and scheduling constraints.…”
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