Search Results - (( usage interactive learning algorithm ) OR ( java application mining algorithm ))

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    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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    Article
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    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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    Conference or Workshop Item
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    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
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    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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    Thesis
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    Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device by Shanmuga, Pillai A/L Murutha Muthu

    Published 2021
    “…This research will investigate the application of the Symbolic Aggregate Approximation (SAX) algorithm on top of known supervised machine learning techniques to perform EEG signal classification. …”
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    Thesis
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    Leaf condition analysis using convolutional neural network and vision transformer by Yong, Wai Chun, Ng, Kok Why, Haw, Su Cheng, Naveen, Palanichamy, Ng, Seng Beng

    Published 2024
    “…As a result, although customers may receive an excellent interactive features programme, the backend algorithm is not optimized. …”
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    Article
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    Scalable Smartification of Commercial Buildings HVAC Systems Using the Internet of Things and Machine Learning by Mahdi M.N., Bakare T.A., Ahmad A.R., Buhari A.M., Mohamed K.S.

    Published 2023
    “…The IoT paradigm has provided technologists with the ability to remotely control devices, and with the recent progress in Machine learning (ML) and Artificial Intelligence (AI), devices are trained to make smart decisions that can independently influence human to machine interactions. � 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.…”
    Conference Paper
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    Depression Detection in Tweets from Urban Cities of Malaysia using Deep Learning by Priya Sri, E.K., Savita, K.S., Zaffar, M.

    Published 2021
    “…Therefore, the research entails on how the problem statement of this project on developing an algorithm that can predict text- based depression symptoms using deep learning and Natural Language Processing (NLP) can be achieved. …”
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    Conference or Workshop Item
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    Exploring classification for sentiment analysis from halal based tweets by Setik, Roziyani, Raja Lope Ahmad, Raja Mohd Tariqi, Marjudi, Suziyanti

    Published 2021
    “…It usually assigns a polarity of “positive”, “negative” or “neutral”. It uses an algorithmic technique to capture people's thoughts, sentiments, and emotions by incorporating Natural Language Processing and Machine Learning technology. …”
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    Halal authentication of alcohol in food and beverages products: a review by Mohamad Ikhiwan, Nur Hanisah, Tukiran, Nur Azira

    Published 2024
    “…Various analytical methods have been developed to confront this issue, including using gas chromatography, mass spectrometry, electronic nose, and a combination of machine learning algorithms, biosensors, and specific gravimetry methods. …”
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    Halal authentication of alcohol in food and beverages products: a review / Nur Hanisah Mohamad Ikhiwan and Nur Azira Tukiran by Mohamad Ikhiwan, Nur Hanisah, Tukiran, Nur Azira

    Published 2024
    “…Various analytical methods have been developed to confront this issue, including using gas chromatography, mass spectrometry, electronic nose, and a combination of machine learning algorithms, biosensors, and specific gravimetry methods. …”
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    Article