Shuzlina Abdul-Rahman

Orcid: 0000-0002-5498-9606

According to our database1, Shuzlina Abdul-Rahman authored at least 42 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Enhancing churn forecasting with sentiment analysis of steam reviews.
Soc. Netw. Anal. Min., December, 2024

2023
An Improved Mask R-CNN Algorithm for High Object Detection Speed and Accuracy.
Proceedings of the Soft Computing in Data Science - 7th International Conference, 2023

Harnessing the XGBoost Ensemble for Intelligent Prediction and Identification of Factors with a High Impact on Air Quality: A Case Study of Urban Areas in Jakarta Province, Indonesia.
Proceedings of the Data Science and Emerging Technologies, 2023

2022
Predicting Internet Usage for Digital Finance Services: Multitarget Classification Using Vector Generalized Additive Model with SMOTE-NC.
Proceedings of the Data Science and Emerging Technologies, 2022

Identifying Topic Modeling Technique in Evaluating Textual Datasets.
Proceedings of the Data Science and Emerging Technologies, 2022

2020
Object Detection for Autonomous Vehicle with LiDAR Using Deep Learning.
Proceedings of the 10th IEEE International Conference on System Engineering and Technology, 2020

Towards Modelling Autonomous Mobile Robot Localization by Using Sensor Fusion Algorithms.
Proceedings of the 10th IEEE International Conference on System Engineering and Technology, 2020

2019
Context Enrichment Model Based Framework for Sentiment Analysis.
Proceedings of the Soft Computing in Data Science - 5th International Conference, 2019

Multilevel Logistic Regression and Neural Network-Genetic Algorithm for Modeling Internet Access.
Proceedings of the Soft Computing in Data Science - 5th International Conference, 2019

A Case Study on Student Attrition Prediction in Higher Education Using Data Mining Techniques.
Proceedings of the Soft Computing in Data Science - 5th International Conference, 2019

Predictive Model of Graduate-On-Time Using Machine Learning Algorithms.
Proceedings of the Soft Computing in Data Science - 5th International Conference, 2019

2018
An Empirical Study of Classifier Behavior in Rattle Tool.
Proceedings of the Soft Computing in Data Science - 4th International Conference, 2018

Exploratory Analysis of MNIST Handwritten Digit for Machine Learning Modelling.
Proceedings of the Soft Computing in Data Science - 4th International Conference, 2018

2017
Nitrogen Fertilizer Recommender for Paddy Fields.
Proceedings of the Soft Computing in Data Science - Third International Conference, 2017

Mining Textual Terms for Stock Market Prediction Analysis Using Financial News.
Proceedings of the Soft Computing in Data Science - Third International Conference, 2017

2016
Shallow Network Performance in an Increasing Image Dimension.
Proceedings of the Soft Computing in Data Science - Second International Conference, 2016

Weak Classifiers Performance Measure in Handling Noisy Clinical Trial Data.
Proceedings of the Soft Computing in Data Science - Second International Conference, 2016

2015
Reviewing Classification Approaches in Sentiment Analysis.
Proceedings of the Soft Computing in Data Science - First International Conference, 2015

Data Projection Effects in Frequent Itemsets Mining.
Proceedings of the Soft Computing in Data Science - First International Conference, 2015

An Improved Particle Swarm Optimization via Velocity-Based Reinitialization for Feature Selection.
Proceedings of the Soft Computing in Data Science - First International Conference, 2015

2014
Mining Frequent Patterns for Genetic Variants Associated to Diabetes.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

2013
Exploring Feature Selection and Support Vector Machine in Text Categorization.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

Optimizing Big Data in Bioinformatics with Swarm Algorithms.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

Towards Mining Frequent Patterns in Genome Wide Association.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2012
An intelligent data pre-processing of complex datasets.
Intell. Data Anal., 2012

Towards Applying Associative Classifier for Genetic Variants.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Turf Grass Irrigation Using Neuro-Fuzzy System.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Velocity-based reinitialisation approach in Particle Swarm Optimisation for feature selection.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

Predicting patients survival using supervised techniques.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

2010
Multivariate filter and PSO in protein function classification.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

Signature verification using Particle Swarm Optimisation.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

Integrating Rough Set Theory and Particle Swarm Optimisation in feature selection.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Soil classification: An application of self organising map and k-means.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Baseline detection using Particle Swarm Optimisation.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

2009
Experimental Study of Different FSAs in Classifying Protein Function.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Filter-wrapper approach to feature selection using RST-DPSO for mining protein function.
Proceedings of the 2nd Conference on Data Mining and Optimization, 2009

An exploratory study in classification methods for patients' dataset.
Proceedings of the 2nd Conference on Data Mining and Optimization, 2009

2008
Online Slant Identification Algorithm Using Vector Rules.
Proceedings of the Computational Science and Its Applications - ICCSA 2008, International Conference, Perugia, Italy, June 30, 2008

User Technology Readiness Measurement in Fingerprint Adoption at Higher Education Institution.
Proceedings of the Computational Science and Its Applications - ICCSA 2008, International Conference, Perugia, Italy, June 30, 2008

Plant Selection System.
Proceedings of the Selected Papers of the Sixth International Conference on Computational Sciences and Its Applications, 2008

2007
Intelligent Water Dispersal Controller: Comparison between Mamdani and Sugeno Approaches.
Proceedings of the Selected Papers of the Fifth International Conference on, 2007

Fuzzy Water Dispersal Controller Using Sugeno Approach.
Proceedings of the Computational Science and Its Applications, 2007


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