Naresh Kumar Nagwani

Orcid: 0000-0001-5306-5818

According to our database1, Naresh Kumar Nagwani authored at least 57 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Deep ensembled multi-criteria recommendation system for enhancing and personalizing the user experience on e-commerce platforms.
Knowl. Inf. Syst., December, 2024

Correction to: Cancer hallmark analysis using semantic classification with enhanced topic modelling on biomedical literature.
Multim. Tools Appl., September, 2024

Cancer hallmark analysis using semantic classification with enhanced topic modelling on biomedical literature.
Multim. Tools Appl., September, 2024

Query based biomedical document retrieval for clinical information access with the semantic similarity.
Multim. Tools Appl., May, 2024

Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning.
Knowl. Inf. Syst., March, 2024

Software bug severity and priority prediction using SMOTE and intuitionistic fuzzy similarity measure.
Appl. Soft Comput., January, 2024

A comparative evaluation of machine learning and deep learning algorithms for question categorization of VQA datasets.
Multim. Tools Appl., 2024

Multi-stakeholder recommendation system through deep learning-based preference evaluation and aggregation model with multi-view information embedding.
Inf. Process. Manag., 2024

2023
Impact of word embedding models on text analytics in deep learning environment: a review.
Artif. Intell. Rev., September, 2023

A framework to detect DDoS attack in Ryu controller based software defined networks using feature extraction and classification.
Appl. Intell., February, 2023

Frequent item-set mining and clustering based ranked biomedical text summarization.
J. Supercomput., 2023

CommunityGCN: community detection using node classification with graph convolution network.
Data Technol. Appl., 2023

A hybrid approach for predicting missing follower-followee links in social networks using topological features with ensemble learning.
Data Technol. Appl., 2023

An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review.
Int. J. Inf. Manag. Data Insights, 2023

Adaptive and Convex Optimization-Inspired Workflow Scheduling for Cloud Environment.
Int. J. Cloud Appl. Comput., 2023

Deep neural network-based multi-stakeholder recommendation system exploiting multi-criteria ratings for preference learning.
Expert Syst. Appl., 2023

An intuitionistic fuzzy representation based software bug severity prediction approach for imbalanced severity classes.
Eng. Appl. Artif. Intell., 2023

Graph Ranked Clustering Based Biomedical Text Summarization Using Top k Similarity.
Comput. Syst. Sci. Eng., 2023

A Centralized LGBM based Attack Detection and Mitigation Approach for Software Defined Networks.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Intuitionistic Fuzzy Set Based Ensemble Approaches for Software Bug Triaging.
Proceedings of the OITS International Conference on Information Technology, 2023

2022
IPSFS: Intuitionistic, pythagorean, and spherical fuzzy similarity computation package in R.
Softw. Impacts, December, 2022

Utility optimization-based multi-stakeholder personalized recommendation system.
Data Technol. Appl., 2022

Exploring the effectiveness of word embedding based deep learning model for improving email classification.
Data Technol. Appl., 2022

An optimized recommendation framework exploiting textual review based opinion mining for generating pleasantly surprising, novel yet relevant recommendations.
Pattern Recognit. Lett., 2022

Long short term memory based functional characterization model for unknown protein sequences using ensemble of shallow and deep features.
Neural Comput. Appl., 2022

Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging.
Knowl. Inf. Syst., 2022

Classification and intuitionistic fuzzy set based software bug triaging techniques.
J. King Saud Univ. Comput. Inf. Sci., 2022

Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature.
Expert Syst. Appl., 2022

2021
Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences.
Medical Biol. Eng. Comput., 2021

A Comparative Study of Graph Kernels and Clustering Algorithms.
Int. J. Multim. Data Eng. Manag., 2021

Multi-label software bug categorisation based on fuzzy similarity.
Int. J. Comput. Sci. Eng., 2021

2020
ML-EC2: An Algorithm for Multi-Label Email Classification Using Clustering.
Int. J. Web Based Learn. Teach. Technol., 2020

EEG signal analysis and classification on P300 speller-based BCI performance in ALS patients.
Int. J. Medical Eng. Informatics, 2020

A Neuro Fuzzy System Based Inflation Prediction of Agricultural Commodities.
Proceedings of the 11th International Conference on Computing, 2020

2019
A user ranking algorithm for efficient information management of community sites using spectral clustering and folksonomy.
J. Inf. Sci., 2019

Extracting and Summarizing the Commonly Faced Security Issues from Community Question Answering Site.
Int. J. Inf. Secur. Priv., 2019

Automatic Question Tagging Using Multi-label Classification in Community Question Answering Sites.
Proceedings of the 6th IEEE International Conference on Cyber Security and Cloud Computing, 2019

2018
RANKuser: A folksonomy and user profile based algorithm to identify experts in Community Question Answering sites.
Data Technol. Appl., 2018

Detection and Classification of Noise Using Bark Domain Features.
Proceedings of the 6th International Conference on Communications and Broadband Networking, 2018

2017
SMS spam filtering and thread identification using bi-level text classification and clustering techniques.
J. Inf. Sci., 2017

Effect of N-Grams Technique in Preprocessing of Email Spam Filtering.
Int. J. Appl. Evol. Comput., 2017

A bi-level text classification approach for sms spam filtering and identifying priority messages.
Int. Arab J. Inf. Technol., 2017

TAGme: A Topical Folksonomy Based Collaborative Filtering for Tag Recommendation in Community Sites.
Proceedings of the 4th Multidisciplinary International Social Networks Conference, 2017

2016
Email thread identification using latent Dirichlet allocation and non-negative matrix factorization based clustering techniques.
J. Inf. Sci., 2016

Generating Intelligent Summary Terms for Improving Knowledge Discovery in Software Bug Repositories.
Int. J. Softw. Eng. Knowl. Eng., 2016

Folksonomy Based Trend Analysis on Community Question Answering Sites: A Perspective on Software Technologies.
IEEE Access, 2016

Multivariate Beta Mixture Model for Automatic Identification of Topical Authoritative Users in Community Question Answering Sites.
IEEE Access, 2016

Selecting Best Answer: An Empirical Analysis on Community Question Answering Sites.
IEEE Access, 2016

Topical Authoritative Answerer Identification on Q&A Posts using Supervised Learning in CQA Sites.
Proceedings of the 9th Annual ACM India Conference, 2016

2015
A Comment on "A Similarity Measure for Text Classification and Clustering".
IEEE Trans. Knowl. Data Eng., 2015

Summarizing large text collection using topic modeling and clustering based on MapReduce framework.
J. Big Data, 2015

2014
A Comparative Study of Bug Classification Algorithms.
Int. J. Softw. Eng. Knowl. Eng., 2014

Weather Forecasting using Incremental K-means Clustering.
CoRR, 2014

Performance Comparison of Incremental K-means and Incremental DBSCAN Algorithms.
CoRR, 2014

Analysis and Study of Incremental DBSCAN Clustering Algorithm.
CoRR, 2014

Performance Evaluation of Incremental K-means Clustering Algorithm.
CoRR, 2014

2011
Study and Analysis of Incremental Apriori Algorithm.
Proceedings of the High Performance Architecture and Grid Computing, 2011


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