Cover Image

Combined Effect of Concept Drift and Class Imbalance on Model Performance During Stream Classification

Saved in:

Bibliographic Details
Main Authors:	Palli, Abdul Sattar, Jaafar, Jafreezal, Hashmani, Manzoor Ahmed, Gomes, Heitor Murilo, Alsughayyir, Aeshah, Gilal, Abdul Rehman
Format:	Article
Published:	TECH SCIENCE PRESS 871 CORONADO CENTER DR, SUTE 200, HENDERSON, NV 89052 USA 2023
Online Access:	http://scholars.utp.edu.my/id/eprint/37041/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Combined Effect of Concept Drift and Class Imbalance on Model Performance During Stream Classification
by: Palli, Abdul Sattar, et al.
Published: (2023)

Combined Effect of Concept Drift and Class Imbalance on Model Performance During Stream Classification
by: Palli, Abdul Sattar, et al.
Published: (2023)

Online Machine Learning from Non-stationary Data Streams in the Presence of Concept Drift and Class Imbalance: A Systematic Review
by: Palli, Abdul Sattar, et al.
Published: (2024)

A Smart Adaptive Ensemble Model to Mitigate the Issues of Concept Drift and Class Imbalance in Multi-class Data Streams
by: Abdul Sattar, Sattar
Published: (2024)

"A Smart Adaptive Ensemble Model to Mitigate the Issues of Concept Drift and Class Imbalance in Multi-class Data Streams"
by: Sattar, Abdul
Published: (2024)

Performance Degradation of Multi-class Classification Model Due to Continuous Evolving Data Streams
by: Palli, A.S., et al.
Published: (2021)

Sentiment classification with concept drift and imbalanced class distributions
by: Jalilvand, A., et al.
Published: (2016)

Concept drift detection on unlabeled data streams: A systematic literature review
by: Ab Ghani, Nur Laila, et al.
Published: (2020)

Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review
by: Hashmani, M.A., et al.
Published: (2020)

An Adaptive Ensemble Framework For Concept Drift Detection And Adaptation In Streaming Data Analysis
by: Maheshwari, Vikash Chander
Published: (2024)

An optimized deep convolutional neural network architecture for concept drifted image classification
by: Jameel, S.M., et al.
Published: (2020)

Class imbalance learning with CostSensitiveACGAN
by: Abdul Halim, Athirah Hazwani, et al.
Published: (2023)

Classification with class imbalance problem: a review
by: Ali, Aida, et al.
Published: (2015)

Improving Class Imbalance Detection And Classification Performance: A New Potential of Combination Resample and Random Forest
by: Zakaria A.Z., et al.
Published: (2023)

Software defect prediction: Analysis of class imbalance and performance stability
by: Balogun, A.O., et al.
Published: (2019)

Drift pattern of tropical stream insect: understanding the aquatic iinsects movement
by: Amila Faqhira Z.,, et al.
Published: (2019)

Combining sampling and ensemble classifier for multiclass imbalance data learning
by: Sainin, Mohd Shamrie, et al.
Published: (2018)

Handling class imbalance in credit card fraud using resampling methods
by: Hordri, Nur Farhana, et al.
Published: (2018)

Investigation of techniques to mitigate the problem of class imbalance in Cognitive Frailty classification
by: Ibrahim, Fatin Nur Afiqah
Published: (2024)

Drift and Benthic Densities of Aquatic Insects and The Evaluation of Water Quality in Selected Streams in Sarawak
by: Katsuri, Nagarajan
Published: (2018)

AQUATIC INSECT DRIFT AND FISH DIVERSITY OF SMALL STREAM AT KUBAH NATIONAL PARK, SARAWAK
by: MUHD NURZULKHAIRI, MOHD YUSUFF
Published: (2015)

Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection
by: Akintola, A.G., et al.
Published: (2022)

ADAPTIVE CNN ENSEMBLE TO HANDLE CONCEPT DRIFT IN ONLINE IMAGE CLASSIFICATION
by: JAMEEL, SYED MUSLIM
Published: (2021)

A self-adaptive class-imbalance TSK neural network with applications to semiconductor defects detection
by: Tan, S.C., et al.
Published: (2018)

An Empirical Study on Data Sampling Methods in Addressing Class Imbalance Problem in Software Defect Prediction
by: Odejide, B.J., et al.
Published: (2022)

Multi level refinement enriched feature pyramid network for scale and class imbalance in object detection
by: Aziz, Lubna
Published: (2022)

Calibration concept and equipment drifting factors: its application in gas metering facilities
by: Mohsin, Rahmat, et al.
Published: (1995)

Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling
by: Liu, Zongying, et al.
Published: (2019)

An initial parameter search for rapid concept drift adaptation in deep neural networks
by: Muhammad Zaly Shah, Muhammad Zafran, et al.
Published: (2021)

Predictive Framework for Imbalance Dataset
by: Megat Norulazmi, Megat Mohamed Noor
Published: (2012)

Feature drift aware for Intrusion Detection System using developed Variable Length Particle Swarm Optimization in data stream
by: Noori, Mustafa Sabah, et al.
Published: (2023)

An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features
by: Sainin, Mohd Shamrie, et al.
Published: (2017)

Comparison of drift eliminators characteristics in evaporative condenser and spray-filled tower
by: Mohiuddin, A.K.M., et al.
Published: (2007)

Comparison of drift eliminators characteristics in evaporative condenser and spray-filled tower
by: Mohiuddin, A. K. M., et al.
Published: (2007)

Gender Imbalance and The Nigeria’s Democratizing Process
by: Jibril, Abubakar, et al.
Published: (2017)

Sustainability of External Imbalances: The Case of Malaysia
by: Evan, Lau, et al.
Published: (2003)

Hydrogen Imbalance in Petroleum Source Rocks
by: Bhattacharya , Swapan Kumar
Published: (2012)

DYNAMIC FORECASTING UNDER CONCEPT DRIFT IN DIFFERENT GENERATION MODALITIES WITHIN SMART GRID: A TRANSFER LEARNING APPROACH
by: AZEEM, ABDUL
Published: (2024)

A semisupervised concept drift adaptation via prototype-based manifold regularization approach with knowledge transfer
by: Muhammad Zaly Shah, Muhammad Zafran, et al.
Published: (2023)

The effect of gender imbalance on housing price in China
by: Han, Xinping, et al.
Published: (2021)