Search Results - (( java implementation mining algorithm ) OR ( using classroom learning algorithm ))

Search alternatives:

Refine Results
  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. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  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”. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  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.…”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  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.…”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  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. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    K-means Clustering Analysis for EEG Features of Situational Interest Detection in Classroom Learning

    K-means Clustering Analysis for EEG Features of Situational Interest Detection in Classroom Learning by Othman, E.S., Faye, I., Babiker, A., Hussaan, A.M.

    Published 2021
    “…This paper proposes a method to detect situational interest in classroom learning using k-means algorithms. The developed algorithm in this paper had been tested on features from ten students who experienced mathematics learning in a classroom. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  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
    “…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. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Machine learning algorithms for early predicting dropout student online learning

    Machine learning algorithms for early predicting dropout student online learning by Dewi, Meta Amalya, Kurniadi, Felix Indra, Murad, Dina Fitria, Rabiha, Sucianna Ghadati, Awanis, Romli

    Published 2023
    “…Online learning is different from offline learning in the classroom with supervision from the lecturer. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  10. 10
    Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems

    Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

    Published 2022
    “…Teaching learning-based optimization is one of the widely accepted metaheuristic algorithms inspired by teaching and learning within classrooms. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Fast Corner Detection in Augmented Reality Learning Management of the Corpse

    Fast Corner Detection in Augmented Reality Learning Management of the Corpse by Undang, Syaripudin, Diena Rauda, Ramdania, Wine, Widiawaty, Wildan Budiawan, Zulfikar, Dian Sa'adillah, Maylawati

    Published 2021
    “…This study aims to make it easier for students to understand better and remember caring for corpses in the classroom. A learning application for managing bodies made using Augmented Reality (AR) technology. …”
    Get full text
    Get full text
    Get full text
    Journal
    Save to List
    Saved in:
  12. 12
    Students Activity Recognition By Heart Rate Monitoring In Classroom Using K-means Classification

    Students Activity Recognition By Heart Rate Monitoring In Classroom Using K-means Classification by Hadi Helmi Md Zuraini, Rimuljo Hendradi, Army Justitia, Waidah Ismail

    Published 2024
    Get full text
    journal::journal article
    Save to List
    Saved in:
  13. 13
    Real-time face recognition system in smart classroom using Haar cascade and local binary pattern model

    Real-time face recognition system in smart classroom using Haar cascade and local binary pattern model by Mohamed, Raihani, Jafni, Jaffrina Umaira, Mohd Rum, Siti Nurulain

    Published 2022
    “…The face recognition system is proposed to use the Haar Cascades algorithm to detect individual faces of students while using Local Binary Pattern (L B P) is used to identify and verify students’ identity by using their facial features. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  14. 14
    Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024)

    Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024) by Ibrahim Brian, Muhammad Shyazzwan

    Published 2025
    “…This Systematic Literature Review (SLR) examines the integration of Artificial Intelligence (AI) in English Language Learning (ELL) with the aim of reimagining classrooms as creative, inclusive, and technology-enhanced spaces. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Automatic attendance system using face recognition with deep learning algorithm

    Automatic attendance system using face recognition with deep learning algorithm by Al-Amoudi, Ibrahim, Rosdiyana, Samad, Nor Rul Hasma, Abdullah, Mahfuzah, Mustafa, Pebrianti, Dwi

    Published 2022
    “…The face recognition system has been developed using a combination of two deep learning algorithms: Multi-Task Cascaded Convolutional Neural Network (MTCNN) and FaceNet. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  16. 16
    Automatic attendance system using face recognition with deep learning algorithm

    Automatic attendance system using face recognition with deep learning algorithm by Al-Amoudi, Ibrahim, Rosdiyana, Samad, Nor Rul Hasma, Abdullah, Mahfuzah, Mustafa, Pebrianti, Dwi

    Published 2022
    “…The face recognition system has been developed using a combination of two deep learning algorithms: Multi-Task Cascaded Convolutional Neural Network (MTCNN) and FaceNet. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  17. 17
    Enhancing classroom engagement using real-time student attention monitoring with YOLOv9

    Enhancing classroom engagement using real-time student attention monitoring with YOLOv9 by Gunawan, Teddy Surya, Muzarudin, Muuhammad Amirul Faiz, Kartiwi, Mira, Md Yusoff, Nelidya

    Published 2024
    “…Future enhancements will focus on integrating additional data sources, reducing misclassifications, and improving algorithm scalability and accuracy to foster a more adaptive learning environment and showcase the system's potential for diverse educational applications.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  18. 18
    Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.]

    Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.] by Abd Rahman, Abdullah Sani, Meutia, Rita, Hamid, Yusnaliza, Abdul Rahman, Rahayu

    Published 2022
    “…There has been a rapid rise mainly since the COVID19 pandemic in the use of video-based learning implemented via online classroom setting. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Demystifying Artificial Intelligence (AI) for Early Childhood and Elementary Education: A Case Study of Perceptions of AI of State of Missouri Educators

    Demystifying Artificial Intelligence (AI) for Early Childhood and Elementary Education: A Case Study of Perceptions of AI of State of Missouri Educators by Arnone, K., Hutson, J., Woodruff, K.

    Published 2023
    “…Research has confirmed that the current use of AI in education (AIEd) leads to positive outcomes, including improved learning outcomes for students, along with increased access, increased retention, lower cost of education, and decreased time to completion. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Developing students' mathematical thinking: how far have we came?

    Developing students' mathematical thinking: how far have we came? by Md. Yunus, Aida Suraya

    Published 2015
    “…So how far have we come? Are the classroom activities, assessment tasks and assessment questions geared towards cultivating mathematical thinking and decision making? …”
    Get full text
    Get full text
    Get full text
    Inaugural Lecture
    Save to List
    Saved in:

Search Tools: