Search Results - (( java implementation mining algorithm ) OR ( knowledge work process algorithm ))

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  1. 1

    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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    Thesis
  2. 2

    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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    Article
  3. 3

    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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    Conference or Workshop Item
  4. 4

    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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    Conference or Workshop Item
  5. 5

    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
  6. 6

    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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    Thesis
  7. 7

    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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    Thesis
  8. 8

    DEVELOPMENT OF A MULTI-OBJECTIVE OPTIMZATION FRAMEWORK FOR INDUSTRIAL PROCESSES by GANESAN, TIMOTHY

    Published 2014
    “…This work investigates the performance and solution characteristics of metaheuristic algorithms when applied to such problems. …”
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    Thesis
  9. 9

    Optimisation of fed-batch fermentation process using deep reinforcement learning by Chai, Wan Ying

    Published 2023
    “…Deep reinforcement learning is a self-learning algorithm through trial and error and experience, without any prior knowledge. …”
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    Thesis
  10. 10

    A hybrid approach to improve recommendation system in E-tourism by Rahman M.M., Zaki Z.B.M., Alwi N.H.B.M., Monirul Islam M.

    Published 2024
    conference output::conference proceedings::conference paper
  11. 11
  12. 12

    Pressure control process / Muhammad Azzahan Daniel Mohd Adli by Mohd Adli, Muhammad Azzahan Daniel

    Published 2022
    “…In this project, the concept of pressure control with working fluid and the algorithm of PID controller will be used. …”
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    Student Project
  13. 13

    Recursive least squares-based adaptive control of a biodiesel transesterification reactor by Kuen, H.Y., Mjalli, F.S., Koon, Y.H.

    Published 2010
    “…The results attained in this work demonstrate that a good adaptive control scheme can be implemented for the biodiesel transesterification reactors with minimal knowledge about the process model.…”
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    Article
  14. 14

    Google the earth: what's next? by Mansor, Shattri

    Published 2010
    “…These works cover all aspects of the remote sensing process, from instrument design, image processing, image analysis to the retrieval of geophysical parameters and their application in natural resources planning and disaster management. …”
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    Inaugural Lecture
  15. 15

    Eye Diagram Modeling Of High-Speed Channels Using Artificial Neural Networks With An Improved Adaptive Sampling Algorithm by Goay, Chan Hong

    Published 2019
    “…xxiii EYE DIAGRAM MODELING OF HIGH-SPEED CHANNELS USING ARTIFICIAL NEURAL NETWORKS WITH AN IMPROVED ADAPTIVE SAMPLING ALGORITHM ABSTRACT As data rates increase to the gigabit range and beyond, signal integrity (SI) analysis becomes increasingly difficult and time consuming process. …”
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    Thesis
  16. 16

    Hybrid Neural Networks and Genetic Algorithm for Fault Detection and Diagnosis of a Plant by Al-Neami, F. B., Al-Kayiem, Hussain H.

    Published 2008
    “…The recent work presents a new method of fault diagnosis based on artificial neural networks and genetic algorithms. …”
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    Conference or Workshop Item
  17. 17

    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…The process of building the machining data knowledge (training) was successfully achieved. …”
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    Thesis
  18. 18

    Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu by Sabtu, Melati

    Published 2005
    “…Gaining information from some resources such as articles and journals contribute various information and knowledge in process of investigation and discussion in order to make this project work smoothly. …”
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    Thesis
  19. 19

    Development of process framework for ontology construction through ontology mapping / Syerina Azlin Md Nasir by Md Nasir, Syerina Azlin

    Published 2016
    “…Automated mapping through the use various existing algorithms offers an efficient solution but suffers in knowledge loss. …”
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    Thesis
  20. 20

    Disparity between theory & practice beyond the worst-case competitive analysis by Iqbal, Javeria, Ahmad, Iftikhar, Shah, Asadullah

    Published 2019
    “…In an online problem, the algorithms is presented with a sequence on input in a serial fashion such that the algorithm does not have knowledge about the future inputs. …”
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    Proceeding Paper