Search Results - (( variable detection service algorithm ) OR ( java application mining algorithm ))

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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
    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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  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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  7. 7
    Detection of Denial of Service Attacks against Domain Name System Using Neural Networks

    Detection of Denial of Service Attacks against Domain Name System Using Neural Networks by Rastegari, Samaneh

    Published 2009
    “…In the current research for our machine learning engine, we aimed to find the optimum machine learning algorithm to be used as an IDS. The performance of our system was measured in terms of detection rate, accuracy, and false alarm rate. …”
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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
    Anomaly detection of denial-of-service network traffic attacks using autoencoders and isolation forest

    Anomaly detection of denial-of-service network traffic attacks using autoencoders and isolation forest by Ghulam Hussain, Muhammad Thaqif, Shafeeq Lone, Aman, Maspo, Nur-Adib, Attarbashi, Zainab

    Published 2026
    “…This paper presents an unsupervised network-based anomaly detection framework that integrates deep autoencoders with the Isolation Forest algorithm. …”
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  10. 10
    Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system

    Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system by Ahmad Anas, Siti Barirah, Seyedzadeh, Saleh, Mokhtar, Makhfudzah, Sahbudin, Ratna Kalos Zakiah

    Published 2016
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  11. 11
    Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system

    Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system by Anas, S.B.A., Seyedzadeh, S., Mokhtar, M., Sahbudin, R.K.Z.

    Published 2016
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  12. 12
    Development and implementation of a technique for norms-adaptable agents in open multi-agent communities

    Development and implementation of a technique for norms-adaptable agents in open multi-agent communities by Mahmoud M., Ahmad M.S., Mohd Yusoff M.Z.

    Published 2023
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  13. 13
    An improved mobility state detection mechanism for femtocells in LTE networks

    An improved mobility state detection mechanism for femtocells in LTE networks by Maiwada, U.D., Usman Danyaro, K., Sarlan, A.B.

    Published 2022
    “…This research investigates energy efficiency for femtocell mobility state detection algorithms to increase the QoS in LTE and advanced LTE networks (5G/6G networks). …”
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  14. 14
    An improved mobility state detection mechanism for femtocells in LTE networks

    An improved mobility state detection mechanism for femtocells in LTE networks by Maiwada, U.D., Usman Danyaro, K., Sarlan, A.B.

    Published 2022
    “…This research investigates energy efficiency for femtocell mobility state detection algorithms to increase the QoS in LTE and advanced LTE networks (5G/6G networks). …”
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  15. 15
    An improved mobility state detection mechanism for femtocells in LTE networks

    An improved mobility state detection mechanism for femtocells in LTE networks by Maiwada, U.D., Usman Danyaro, K., Sarlan, A.B.

    Published 2022
    “…This research investigates energy efficiency for femtocell mobility state detection algorithms to increase the QoS in LTE and advanced LTE networks (5G/6G networks). …”
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  16. 16
    Faulty sensor detection mechanism using multi-variate sensors in IoT

    Faulty sensor detection mechanism using multi-variate sensors in IoT by Al-Atrakchii, Khaldoon Ammar

    Published 2019
    “…The accuracy of the algorithm for data correlation may be changing depending on the application that wants to detect the faulty sensor in the system and according to how many data that income to the microcontroller per minute and how many data should take to calculate the correlation coefficient. …”
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  17. 17
    New synchronization protocol for distributed system with TCP extension

    New synchronization protocol for distributed system with TCP extension by Bayat, Peyman

    Published 2013
    “…In the worst condition, it optimized 3.99% higher than the most fault-tolerant previous works. The resulting algorithm does not involve variability in the hardware type nor is it based on specific distributed application software or databases. …”
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