Search Results - (( java implementation tree algorithm ) OR ( knowledge usage data algorithm ))

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  1. 1

    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
  2. 2

    A web usage mining approach based on LCS algorithm in online predicting recommendation systems by Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2008
    “…Web Usage Mining (WUM) systems are specifically designed to carry out this task by analyzing the data representing usage data about a particular Web site. …”
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    Article
  3. 3

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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    Thesis
  4. 4

    Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin by Raja Kamarudin, Raja Muhammad Hafiz

    Published 2012
    “…With the abundant of knowledge accessible via Internet and the likes, many have ventured into using that knowledge in order to understand deeply on how the available knowledge affected the whole world directly or indirectly. …”
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    Thesis
  5. 5

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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    Thesis
  6. 6

    Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction by Alkawsi G., Al-amri R., Baashar Y., Ghorashi S., Alabdulkreem E., Kiong Tiong S.

    Published 2024
    “…In a world of connectivity empowered by the advancement of the Internet of Things (IoT), an infinite number of data streams have emerged. Thus, data stream clustering is crucial for extracting hidden knowledge and data mining. …”
    Article
  7. 7

    Web usage mining: A review of recent works by Omar, Rosli, Md Tap, Abu Osman, Abdullah, Zainatul Shima

    Published 2015
    “…Web mining is the application of data mining on web data and web usage mining is an important component of web mining. …”
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    Proceeding Paper
  8. 8

    A new classification model for online predicting users' future movements by Jalali, Mehrdad, Mustapha, Norwati, Mamat, Ali, Sulaiman, Md. Nasir

    Published 2008
    “…We can exploit Web Usage Mining for Knowledge extracting based on user behavior during the web navigation. …”
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    Conference or Workshop Item
  9. 9

    Development of intelligent hybrid learning system using clustering and knowledge-based neural networks for economic forecasting : First phase by Che Mat @ Mohd Shukor, Zamzarina, Md Sap, Mohd Noor

    Published 2004
    “…We proposed KMeans clustering algorithm that is based on multidimensional scaling, joined with neural knowledge based technique algorithm for supporting the learning module to generate interesting clusters that will generate interesting rules for extracting knowledge from stock exchange databases efficiently and accurately.…”
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    Conference or Workshop Item
  10. 10
  11. 11

    BVAGQ-AR for Fragmented Database Replication Management by N., Ahmad, Ainul Azila, Che Fauzi, Sharifah Hafizah, Sy Ahmad Ubaidillah, Al-Kazemi, Basem, Odili, Julius Beneoluchi

    Published 2021
    “…Although we have been packed with data, we still have lacked of knowledge. Nevertheless, if the impractical data is used in database replication, this will cause waste of data storage and the time taken for a replication process will be delayed. …”
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    Article
  12. 12

    Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model by Noraziah, Ahmad, Wan Maseri, Wan Mohd, Ainul Azila, Che Fauzi

    Published 2015
    “…However, in recent years, with widely available, low-cost technology, the amount of various data grows rapidly. The problem is although we are packed with data, but we have lacked of knowledge. …”
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    Conference or Workshop Item
  13. 13

    Application of machine learning and artificial intelligence in detecting SQL injection attacks by Md Sultan, Abu Bakar, Agiliga, Nwabudike Augustine, Osman, Mohd Hafeez Bin, Sharif, Khaironi Yatim

    Published 2024
    “…More recently, cyber-attacks have also been on the rise and SQL injection attacks are some of major threats to data security. AI and machine learning have come a long way, however their usage in cybersecurity is still somewhat nascent. …”
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    Article
  14. 14

    An augmented reality real-time cloud-based remote monitoring algorithm for a manufacturing system / Siti Aisyah Jaafar by Jaafar, Siti Aisyah

    Published 2021
    “…Thus, resulting in the efficiency of the novel AR-IoT remote monitoring algorithm. This research contributes to existing knowledge of AR-IoT onto the growing area of research scopes by exploring more usage of AR and IoT for remote manufacturing monitoring.…”
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    Thesis
  15. 15

    Biological-based semi-supervised clustering algorithm to improve gene function prediction by Kasim, Shahreen, Deris, Safaai, M. Othman, Razib, Hashim, Rathiah

    Published 2011
    “…Analysis of simultaneous clustering of gene expression with biological knowledge has now become an importanttechnique and standard practice to present a proper interpretation of the data and its underlying biology. …”
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    Article
  16. 16

    Research on the construction of an efficient and lightweight online detection method for tiny surface defects through model compression and knowledge distillation by Chen, Qipeng, Xiong, Qiaoqiao, Huang, Haisong, Tang, Saihong, Liu, Zhenghong

    Published 2024
    “…In response to the current issues of poor real-time performance, high computational costs, and excessive memory usage of object detection algorithms based on deep convolutional neural networks in embedded devices, a method for improving deep convolutional neural networks based on model compression and knowledge distillation is proposed. …”
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    Article
  17. 17

    Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar by Abu Bakar, Nordin

    Published 2016
    “…By defining the data, machines (or computers) will be able to create information and later on transform it into knowledge. …”
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    Thesis
  18. 18

    Data stream clustering by divide and conquer approach based on vector model by Khalilian, Madjid, Mustapha, Norwati, Sulaiman, Nasir

    Published 2016
    “…Recently, many researchers have focused on data stream processing as an efficient method for extracting knowledge from big data. …”
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    Article
  19. 19

    Study of Free Falling Particle in Viscous Fluid by a/l Jeyaprakasam, Gajendran

    Published 2016
    “…This report aims to refer to all the previous studies conducted to study the motion of particle in viscous medium and use that knowledge and data to model and simulate that situation using computational fluid dynamic software. …”
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    Final Year Project
  20. 20

    A design of precision linear z-transverse antenna positioner by Lim, Chun Khai

    Published 2006
    “…It comprises designs of mechanical, electrical and control system. Besides, knowledge on software design is also of paramount important because the designed instrument run by own developed control algorithm. …”
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    Thesis