Search Results - (( future intention using algorithm ) OR ( java application optimisation algorithm ))

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

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm. by Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

“…In this paper, to provide online predicting effectively, we develop a model for online predicting through web usage mining system and propose a novel approach for classifying user navigation patterns to predict users’ future intentions. The approach is based on the using longest common subsequence algorithm to classify current user activities to predict user next movement. …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

“…In order to overcome this problem, a classification model for intent recognition is developed. Dataset from Kaggle which contains English reviews from Shopee is downloaded to be used for the modelling process. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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WebPUM : a web-based recommendation system to predict user future movements. by Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

“…Furthermore, longest common subsequence algorithm is used for classifying current user activities to predict user next movement. …”
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A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining by Jalali, Mehrdad

“…In the online phase, the longest common subsequence algorithm is used as a new approach in recommendation system for classifying current user activities to predict user next movements. …”
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A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

“…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. …”

Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

“…Within the GA, nearest neighbor algorithm is used in determining the most similar recorded case that can be used in solving the new case. …”

The influence of Robo-advisory services on Malaysia university student’s investment intention by Tan, Yung Hui, Lim, Jia Eng, Lim, Keh Xin, Zeng, Yi

“…The findings reveal that both trust and perceived ease of use have significant positive effects on students' intention to use robo-advisory services. …”
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AI technology factors mediated via intention to use in UAE petroleum companies case study by Alblooshi, Surour Mohammed Surour Hamada

“…These factors encompass perceived ease of use, perceived usefulness, technology attitude towards AI, perceived knowledge in AI, and behavioral intention to use AI. …”
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Software agent as an effective tool for managing the Internet of thing data complexity by Mustafa, M.B., Yusoof, M.A.M.

“…However, the key question is that, which data best describe the user’s intention to purchase. Many of the algorithms examine user’s past activities and traits to predict the buying intention. …”
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A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

Classification of stock market index based on predictive fuzzy decision tree by Khokhar, Arashid Hafeez

“…Finally, these rules are used to predict time series stock market in different periods to time. …”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory by Kamahazira Binti Zainal

Mobile botnet classification by using hybrid analysis by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

Unlocking insights: A comprehensive dataset analysis on the acceptance of computational thinking skills among undergraduate university students through the lens of extended techno... by Rosli, Mohd Shafie, Awalludin, Muhammad Fairuz Nizam, Tau Han, Cheong T, Saleh, Nor Shela, Md Noor, Harrinni

“…The dataset contributes to the field by presenting a robust acceptance model, explaining 74.2 per cent of the variance in behavioural intention, 60.2 per cent in perceived usefulness, and 56.1 per cent in perceived ease of use. …”
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Cyber hygiene during Covid-19 to avoid cyber attacks by Lee, Yvonne Yi Jin

“…After received the responds from participants, we had run the analysis on all the variables by using SmartPLS 3.3 and calculate the PLS-SEM algorithm of the variables. …”
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From AI to Experience How Personalization Shapes Online Shopping Journeys in E-Marketplaces by Raeni Dwi, Santy, Yoga, Wicaksana, Mohammad Fauzil, Adhim

“…This study contributes to the literature on AI-enabled retail in emerging markets, positioning Indonesia as a key case for understanding the future of e-commerce in Southeast Asia.…”
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Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. …”
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Predicting factors of library traffic for UiTMCTKKT Cendekiawan Library using predictive analytics / Azzatul Husna Abdul Aziz by Abdul Aziz, Azzatul Husna

“…Cross-validation was used for evaluation to ensure that the models are robust and reliable. …”
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