Sonajharia Minz

Orcid: 0000-0002-6227-5144

According to our database1, Sonajharia Minz authored at least 32 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
Rough-graph-based hotspot detection of polygon vector data.
Multim. Tools Appl., February, 2024

2022
Multi-view ensemble learning using multi-objective particle swarm optimization for high dimensional data classification.
J. King Saud Univ. Comput. Inf. Sci., 2022

Self-adaptive-deer hunting optimization-based optimal weighted features and hybrid classifier for automated disease detection in plant leaves.
Expert Syst. J. Knowl. Eng., 2022

Implementation of Optimal Leaf Feature Selection-Based Plant Leaf Disease Classification Framework with RNN+GRU Technique.
Proceedings of the Advanced Communication and Intelligent Systems, 2022

2021
Circle-based Group Recommendation in Social Networks.
Soft Comput., 2021

A Scalable Unsupervised Classification Method Using Rough Set for Remote Sensing Imagery.
Int. J. Softw. Sci. Comput. Intell., 2021

2020
Negotiation framework for group recommendation based on fuzzy computational model of trust and distrust.
Multim. Tools Appl., 2020

Group Recommender Systems - An Evolutionary Approach Based on Multi-expert System for Consensus.
J. Intell. Syst., 2020

Game Theory Based Pixel Approximation for Remote Sensing Imagery.
Appl. Soft Comput., 2020

Effective Context-Aware Recommendations Based on Context Weighting Using Genetic Algorithm and Alleviating Data Sparsity.
Appl. Artif. Intell., 2020

2019
Link prediction in signed social networks based on fuzzy computational model of trust and distrust.
Soft Comput., 2019

Fast active learning for hyperspectral image classification using extreme learning machine.
IET Image Process., 2019

Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques.
AI Commun., 2019

Rough-Set Based Hotspot Detection in Spatial Data.
Proceedings of the Advances in Computing and Data Sciences, 2019

2018
Fisher discriminant ratio based multiview active learning for the classification of remote sensing images.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018

2017
CCRA: channel criticality based resource allocation in cognitive radio networks.
Int. J. Commun. Syst., 2017

2016
Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification.
Knowl. Inf. Syst., 2016

Performance analysis of cognitive radio networks under spectrum sharing using queuing approach.
Comput. Electr. Eng., 2016

2015
Multi-view Ensemble Learning: A Supervised Feature Set Partitioning for High Dimensional Data Classification.
Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

Conflict Graph Based Channel Allocation in Cognitive Radio Networks.
Proceedings of the 34th IEEE Symposium on Reliable Distributed Systems Workshop, 2015

Binarizing Change for Fast Trend Similarity Based Clustering of Time Series Data.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015

2014
Multi-Objective Particle Swarm Optimization: An Introduction.
Smart Comput. Rev., 2014

Feature Selection: A literature Review.
Smart Comput. Rev., 2014

2012
Poem Classification Using Machine Learning Approach.
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

2008
Improving Multi-agent Evolutionary Techniques with Local Search for Job Shop Scheduling Problem.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2008

2007
Discretization Using Clustering and Rough Set Theory.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

2005
Refining decision tree classifiers using rough set tools .
Int. J. Hybrid Intell. Syst., 2005

Dynamic RDT Model for Data Mining.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

2003
Should Decision Trees be Learned using Rough Sets?
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Classifying Mushrooms in the Hybridized Rough Sets Framework.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Hybridized Rough Set Framework for Classification: An Experimental View.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Rough Set Based Decision Tree Model for Classification.
Proceedings of the Data Warehousing and Knowledge Discovery, 5th International Conference, 2003


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