Search Results - (( java implementation mining algorithm ) OR ( programming classical selection 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
    “…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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  2. 2
    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
    “…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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  3. 3
    Scalable approach for mining association rules from structured XML data

    Scalable approach for mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
    “…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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  4. 4
    Mining association rules from structured XML data

    Mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
    “…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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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
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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  7. 7
    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
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  8. 8
    Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM

    Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM by Saxena N.K., Gao W.D., Kumar A., Mekhilef S., Gupta V.

    Published 2023
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  9. 9
    Cognitive selection mechanism performance in IEEE 802.11 WLAN

    Cognitive selection mechanism performance in IEEE 802.11 WLAN by Hashim, Wahidah, Ismail, Ahmad Fadzil, Ghafar, Nadratul, Dzulkifly, Sumayyah

    Published 2013
    “…The results for the selection were evaluated respectively to see the variation in selection pattern when compared to the default selection algorithm. …”
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  10. 10
    Development of a software for simulating active force control schemes of a two-link planar manipulator

    Development of a software for simulating active force control schemes of a two-link planar manipulator by Mailah, Musa, Poh, Yang Liang

    Published 2005
    “…A Classic Proportional-Derivative (Pd) Control Scheme Was Also Included In The Program For The Purpose Of Benchmarking.…”
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  11. 11
    Development of a software for simulating active force control schemes of a two–link planar manipulator

    Development of a software for simulating active force control schemes of a two–link planar manipulator by Mailah, Musa, Poh, Yang Liang

    Published 2005
    “…A classic proportional–derivative (PD) control scheme was also included in the program for the purpose of benchmarking.…”
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  12. 12
    Performance analysis of three ANN models using improved fast evolutionary programming for power output prediction in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Yunus, Shahril Irwan Sulaiman and Ahmad Maliki Omar

    Performance analysis of three ANN models using improved fast evolutionary programming for power output prediction in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Y... by Megat Yunus, Puteri Nor Ashikin, Sulaiman, Shahril Irwan, Omar, Ahmad Maliki

    Published 2018
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  13. 13
    Development of priority oriented scheduling method to increase the efficiency and reliability for automotive job

    Development of priority oriented scheduling method to increase the efficiency and reliability for automotive job by Nojabaei, Seyedehfarzaneh

    Published 2012
    “…In this regard, numerous scholars have attempted to schedule via divergent methods including classical scheduling, genetic algorithm, neural network, fuzzy logic, and so on. …”
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  14. 14
    Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong

    Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong by Lily , Wong

    Published 2018
    “…The computational results also show that the algorithms of population based ACO performs better than the algorithms of non-population based ACO. …”
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  15. 15
    Firefly algorithm-based neural network for GCPV system output prediction / Nor Syakila Mohd Zainol Abidin

    Firefly algorithm-based neural network for GCPV system output prediction / Nor Syakila Mohd Zainol Abidin by Mohd Zainol Abidin, Nor Syakila

    Published 2014
    “…The performance of the proposed FA-based MLFNN had been compared with the performance of the Classical Evolutionary Programming-based Neural Network (CEP-based MLFNN). …”
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