Search Results - (( deviation detection techniques ) OR ( evolution mining techniques ))

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  1. 1
    Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee

    Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee by Hiromi , Wong, Siew , Lan, Valery, Fred Lee

    Published 2004
    “…This evolution provokes the emergence of data mining tools, which perform data analysis and extract data patterns. …”
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  2. 2
    Inventory record analysis using deviation analysis / Muda Wali Abdullah

    Inventory record analysis using deviation analysis / Muda Wali Abdullah by Abdullah, Muda Wali

    Published 2015
    “…This project is about the analysis of inventory records based on data mining technique which is deviation analysis. Deviation analysis refers to the identifying of anomalies which are different things from normal. …”
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  3. 3
    A self-contained real-time angle deviation detection and measurement technique for straight line quadrocopter navigation using accelerometer / Nor Hashim Mohd Arshad … [et al.]

    A self-contained real-time angle deviation detection and measurement technique for straight line quadrocopter navigation using accelerometer / Nor Hashim Mohd Arshad … [et al.] by Mohd Arshad, Nor Hashim, Abdul Razak, Noorfadzli, Adnan, Ramli, Misnan, Mohamad Farid, M. Thamrin, Norashikin

    Published 2014
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  4. 4
    Global Trends of Educational Data Mining in Online Learning

    Global Trends of Educational Data Mining in Online Learning by Chen, Chwen Jen, Teh, Chee Siong, Dexter Sigan, John

    Published 2023
    “…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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  5. 5
    A review of homogenous ensemble methods on the classification of breast cancer data

    A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2024
    “…This technique reinforced the use of multiple classifiers in the model. …”
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  6. 6
    A review of homogenous ensemble methods on the classification of breast cancer data

    A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2024
    “…This technique reinforced the use of multiple classifiers in the model. …”
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  7. 7
    Development of a computer vision-based technique for analysis of hand therapy exercise

    Development of a computer vision-based technique for analysis of hand therapy exercise by Muhammad Zabri, Abu Bakar

    Published 2018
    “…For this purpose, the ROM exercise was developed by using the hand detection and tracking, fingertips detection, skeleton joints detection algorithms and joint angle measurement algorithm. …”
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  8. 8
    Speed estimation and target detection in forward scattering radar

    Speed estimation and target detection in forward scattering radar by Raja Abdullah, Raja Syamsul Azmir, A. Rasid, Mohd Fadlee, Ismail, Alyani, Mohamed Sadig, Mutaz Salah, Khalafalla, Mohamed

    Published 2008
    “…This paper presents work on target detection and speed estimation method in one of radar types called Forward Scattering Radar (FSR). …”
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  9. 9
    Sleep apnea detection using cardioid based grap

    Sleep apnea detection using cardioid based grap by Mohd Azam, Siti Nurfarah Ain, Sidek, Khairul Azami, Zainal, Nur Izzati

    Published 2016
    “…Thus, the output of the study suggests the proof-of-concept of our proposed mechanisms to detect heart abnormalities and has the potential to act as an alternative to the current techniques.…”
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  10. 10
    Classification with degree of importance of attributes for stock market data mining

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…Many statistical and data mining techniques have been used to predict time series stock market. …”
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  11. 11
    The evolution of spectral analysis of surface wave method – a review

    The evolution of spectral analysis of surface wave method – a review by Mannan Mitu, Sadia Mannan Mitu, Abd. Rahman, Norinah, Mohd Taib, Aizat, Ramli, Ahmad Bukhari, Abang Hasbollah, Dayang Zulaika

    Published 2021
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  12. 12
    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution

    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

    Published 2018
    “…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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  13. 13
    Cumulative frame differencing for urban vehicle detection

    Cumulative frame differencing for urban vehicle detection by Al-Smadi, M, Abdulrahim, K, Salam, RA

    Published 2024
    “…The tests of the proposed technique achieve robust and accurate vehicle segmentation, which improves detection of slow motion, temporary and long term stopped vehicles, moreover, it enables the real-time capability.…”
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  14. 14
    Classification of Immunosignature Using Random Forests for Cancer Diagnosis

    Classification of Immunosignature Using Random Forests for Cancer Diagnosis by Zarzar, Mouayad, Razak, Eliza, Htike@Muhammad Yusof, Zaw Zaw, Yusof, Faridah

    Published 2015
    “…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. The evolution of authoritative immunofingerprint mining technology is exerting a growing influence on comprehensive cancer diagnosis biology. …”
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  15. 15
    Global trends of educational data mining in online learning

    Global trends of educational data mining in online learning by Nie Hui Ling, Chwen Jen Chen, Chee Siong Teh, Dexter Sigan John, Looi Chin Ch’ng, Yoon Fah Lay

    Published 2023
    “…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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  16. 16
    Image Copy-Move Forgery Detection Algorithms Based on Spatial Feature Domain

    Image Copy-Move Forgery Detection Algorithms Based on Spatial Feature Domain by Ahmed I.T., Hammad B.T., Jamil N.

    Published 2023
    Conference Paper
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  17. 17
    Fault detection and diagnosis using rule-based support system on fatty acid fractionation column

    Fault detection and diagnosis using rule-based support system on fatty acid fractionation column by Yann, H. H., Ali, Mohamad Wijayanuddin, Kamsah, Mohd Zaki

    Published 2003
    “…The system was founded to be able to detect faults and promptly diagnose them.…”
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  18. 18
    New Variable Sampling Interval Run Sum Standard Deviation And Run Sum Multivariate Coefficient Of Variation Charts

    New Variable Sampling Interval Run Sum Standard Deviation And Run Sum Multivariate Coefficient Of Variation Charts by Lim, Alex Jun Xiong

    Published 2017
    “…In Statistical Process Control (SPC), the control charting technique is an effective method to solve quality issues in manufacturing and service industries. …”
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  19. 19
    Network anomaly detection approach based on frequent pattern mining technique

    Network anomaly detection approach based on frequent pattern mining technique by Dominic, D.D., Said, A.M.

    Published 2014
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  20. 20
    Modified Statistical Process Control For Short Runs Test And Measurement Process To Reduce False Alarm

    Modified Statistical Process Control For Short Runs Test And Measurement Process To Reduce False Alarm by Koh, Chin Kok

    Published 2018
    “…Thereafter, Five-band setting and S–factor are proposed to estimate process standard deviation to maximize the the opportunity to detect assignable causes with low false-reject rate. …”
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