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Sequential pattern mining using PrefixSpan with pseudoprojection and separator database by Saputra, D., Rambli, D.R.A., Foong, Oi Mean

“…Nevertheless, Pseudoprojection technique, which requires maintaining and visiting the in-memory sequence database frequently until all patterns are found, consumes a considerable amount of memory and induces the algorithm to undertake redundant and unnecessary checks to this copy of original database into memory when the candidate patterns are examined. …”
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Study on the influence of knowledge-driven technology on predicting consumer repurchase behaviour by Chen, Yajing, Leong, Yee Choy, Yiing, Lee Shin, Xiao, Yunxia

“…Consumer purchase behaviour has become a potential research area in business analytics, as exploring micro-level details would increase the business's profitability. …”
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Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Dhany, Saputra

“…Nevertheless, peudoprojection technique, which requires maintaining and visiting the in-memory sequenced database frequently until all patterns are found, consumes a considerable amount of memory space and induces the algorithm to undertake many redundant and unnecessary checks to this copy of original database into memory when the candidate patterns are examined. …”
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Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

“…Nevertheless, peudoprojection technique, which requires maintaining and visiting the in-memory sequenced database frequently until all patterns are found, consumes a considerable amount of memory space and induces the algorithm to undertake many redundant and unnecessary checks to this copy of original database into memory when the candidate patterns are examined. …”
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Predicting energy consumption pattern based on top trending videos YouTube 2021 using machine learning techniques by Ng, Jiun Shen

“…This project will cover the methodology, concept, and design of utilising machine learning language to anticipate energy consumption patterns. The process of putting a machine learning pipeline into action will be explored and analysed. …”
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APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN by SARI, YUNITA SARI

“…In our research, extraction pattern from the first module will be fed to this algorithm and is used to make the prediction of named entity candidate category. …”
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Gait identification modelling for a hybrid amphi-underwater robot with exponential momentum ant colony algorithm by Toha, Siti Fauziah, Ahmad, Salmiah, Ismail, Amelia Ritahani, Abdul Hamid, Syamsul Bahrin

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Generation of the batik Terengganu motifs using Bezier curve and Dejdumrong curve / Nuralea Natasya Amir Hamdan, Nur Fatin Natasya Ramdzan and Nurul Ain Nabila Mohamad Latif by Amir Hamdan, Nuralea Natasya, Ramdzan, Nur Fatin Natasya, Mohamad Latif, Nurul Ain Nabila

“…However, this manual process is time-consuming and limits the exploration of complex designs. …”
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“SEGMENTATION OF ANTI NEUTROPHIL CYTOPLASMIC ANTIBODIES (ANCA) IMAGES BASED ON WATERSHED AND WAVELET” by Nasir Nasir, Muhamad Hasyeme

“…Recommendation for future work is to explore on automatic determination of noise variance inside images.…”
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Car recognition using Bayes Classifier / Nur Atiqah Mat Samadi by Mat Samadi, Nur Atiqah

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Evaluation of SongketChain : A Framework to Protect Unique Cultural Product using Blockchain Technology by Muhammad Hassif Imran, Muhammad Harris Irwan, Johari, Abdullah, Adnan Shahid, Khan, Nayeem Ahmad, Khan

“…By leveraging both public and private blockchain technologies, SongketChain offers a novel approach to securing pattern rights and supply chain logistics, ensuring that each Songket product's journey from weaver to consumer is documented and verifiable. …”
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Hybrid harmony search-artificial intelligence models in credit scoring by Goh, Rui Ying

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Q-Learning-based detection of IPv6 intrusions: a behavioral and performance study by Daru, April Firman, Hirzan, Alauddin Maulana, Mahmod Attar Bashi, Zainab Senan, Fanani, Fajriannoor

“…To address this limitation, the present study proposes a self-learning model using reinforcement learning techniques, specifically the Q-Learning algorithm, to classify network intrusions based on learned behavioural patterns autonomously. …”
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Prediction of rice biomass using machine learning algorithms by Radhwane, Derraz

“…However, they are destructive, laborious, time-consuming, impractical for large fields, and subject to human error. …”
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