Search Results - (( developing interactive mining algorithm ) OR ( java evaluation case algorithm ))
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Prime-based method for interactive mining of frequent patterns
Published 2010“…Moreover, this study introduces a mining algorithm called PC-miner to mine the mining model frequently with various values of minsup. …”
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Using text mining algorithm to detect gender deception based on Malaysian chatroom lingo / Dianne L.M. Cheong and Nur Atiqah Sia Abdullah@Sia Sze Yieng
Published 2006“…Based on this designed text algorithm, a prototype in Visual Basic is developed. …”
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Research Reports -
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Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng
Published 2006“…Based on this algorithm. a prototype in Visual Basic is developed It was tested with /6 documents; each consists of 5 e-mails exchanges of respective individuals. …”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Social media mining is the process of collecting large datasets from user-generated content and extracting and analyzing social media interactions to recognize meaningful patterns in individual and social behavior. …”
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Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…To help engineers select the best metaheuristic algorithms for their problems, there is a need to evaluate the performance of different metaheuristic algorithms against each other using common case studies. …”
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Social media mining is the process of collecting large datasets from user-generated content and extracting and analyzing social media interactions to recognize meaningful patterns in individual and social behavior. …”
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Intelligent mining of large-scale bio-data: bioinformatics applications
Published 2017“…Hence, there is a high potential to raise the interaction between artificial intelligence and bio-data mining. …”
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An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…Software testing is one of the most critical phases in the software development life cycle model (SDLC), where the quality of a software product is evaluated. Test case prioritization (TCP) is used to prioritize and schedule test case execution to conduct higher-priority test cases to optimize the software testing process. …”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…Enhancements in cognitive neuroscience and brain imaging technologies such as Human-Computer Interaction (HCI) have started to provide human with the ability to interact directly with the brain. …”
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Sentiment analysis of customer review for Tina Arena Beauty
Published 2025“…An interactive dashboard was developed using Microsoft Power BI to visualize key sentiment trends by product and platform, providing Tina Arena Beauty with actionable insights to understand customer satisfaction, identify dissatisfaction patterns, and improve product and service offerings. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…Third approach is transforming identifiers to junk code to hide the meaning and increase the complexity of the code. Empirical evaluation was conducted to evaluate the proposed Hybrid Obfuscation Technique. …”
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Improved building roof type classification using correlation-based feature selection and gain ratio algorithms
Published 2017“…Of late, application of data mining for pattern recognition and feature classification is fast becoming an essential technique in remote sensing research. …”
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Integration of object-based image analysis and data mining techniques for detailes urban mapping using remote sensing
Published 2015“…This algorithm represents the decision tree knowledge model, enables fast classification of intra-urban classes, and disables subjectivities related to the interaction with analysts. …”
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Web page design for electronic commerce / Lee Fong Wai
Published 2003“…Also includes a brief explanation about the interaction of this subsystem with the Online Shopping Submission and Processing Subsystem, which is developed by my teammate. …”
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Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024“…The landslide data together with its conditioning factors (feature variables) collected from three districts in the Central Java Province, Indonesia, has been used as the case study for the LSM. …”
Conference Paper -
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Mitigation of shoulder-surfing attack on picture-based passwords using falsifying authentication methods / Por Lip Yee
Published 2012“…Case studies were conducted to evaluate the capability of the proposed methods in mitigating shoulder-surfing attack. …”
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Understanding the occurrence of metastatic breast cancer through clinical, phenotype and genotype data, and the employment of machine learning / Nadia Jalaludin
Published 2023“…Approximately 2.3 million women were diagnosed with breast cancer (BC) in 2020 and nearly 30% of women diagnosed with early-stage breast cancer will later develop metastatic disease. Despite the development and discovery of drugs and pharmacotherapy for breast cancer, the 5-year survival rate for people with metastatic breast cancer (MBC) remains low. …”
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