Durga Toshniwal

Orcid: 0000-0002-7960-4127

According to our database1, Durga Toshniwal authored at least 115 papers between 2004 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Self-Supervison with data-augmentation improves few-shot learning.
Appl. Intell., 2024

2023
Statistical limitations of sensitive itemset hiding methods.
Appl. Intell., October, 2023

AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data.
Eng. Appl. Artif. Intell., 2023

A hybrid model for Forecasting Biological Oxygen Demand using CEEMDAN-LSTM.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geocomputational Analysis of Socio-Economic Data, 2023

A Novel Ensemble-Based Framework for Feature Identification and Classification of COVID-19 Electronic Health Record Data.
Proceedings of the IEEE International Conference on Big Data, 2023

Label Hierarchy Alignment for Improved Hierarchical Text Classification.
Proceedings of the IEEE International Conference on Big Data, 2023

Deep Reinforcement Learning based Data Placement optimization in Data Center Networks.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Efficient algorithms for victim item selection in privacy-preserving utility mining.
Future Gener. Comput. Syst., 2022

AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns.
Expert Syst. Appl., 2022

RDD2022: A multi-national image dataset for automatic Road Damage Detection.
CoRR, 2022

AgriMine: A Deep Learning integrated Spatio-temporal analytics framework for diagnosing nationwide agricultural issues using farmers' helpline data.
Comput. Electron. Agric., 2022

Deep Learning-based query-count forecasting using farmers' helpline data.
Comput. Electron. Agric., 2022

Neuron Specific Pruning for Communication Efficient Federated Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022).
Proceedings of the IEEE International Conference on Big Data, 2022

Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

AI-Driven Road Condition Monitoring across Multiple Nations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Distributed Sparse Class-Imbalance Learning and Its Applications.
IEEE Trans. Big Data, 2021

2020
Features denoising-based learning for porosity classification.
Neural Comput. Appl., 2020

VIDPSO: Victim item deletion based PSO inspired sensitive pattern hiding algorithm for dense datasets.
Inf. Process. Manag., 2020

MR-I MaxMin-scalable two-phase border based knowledge hiding technique using MapReduce.
Future Gener. Comput. Syst., 2020

Transfer Learning-based Road Damage Detection for Multiple Countries.
CoRR, 2020

An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets.
CoRR, 2020

Sequential pattern mining combined multi-criteria decision-making for farmers' queries characterization.
Comput. Electron. Agric., 2020

Energy load time-series forecast using decomposition and autoencoder integrated memory network.
Appl. Soft Comput., 2020

A sanitization approach for big data with improved data utility.
Appl. Intell., 2020

MR-OVnTSA: a heuristics based sensitive pattern hiding approach for big data.
Appl. Intell., 2020

An Approximate Model for Event Detection From Twitter Data.
IEEE Access, 2020

Data Decomposition Based Learning for Load Time-Series Forecasting.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Real-time estimation of COVID-19 cases using machine learning and mathematical models - The case of India.
Proceedings of the 15th IEEE International Conference on Industrial and Information Systems, 2020

Closed Itemset based Sensitive Pattern Hiding for Improved Data Utility and Scalability.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

An Unsupervised Misinformation Detection Framework to Analyze the Users using COVID-19 Twitter Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Global Road Damage Detection: State-of-the-art Solutions.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Shunt connection: An intelligent skipping of contiguous blocks for optimizing MobileNet-V2.
Neural Networks, 2019

Global Awareness Landscape for Ailments - A Twitter Based Microscopic View Into Thought Processes of People.
Frontiers Big Data, 2019

MOWM: Multiple Overlapping Window Method for RBF based missing value prediction on big data.
Expert Syst. Appl., 2019

SmPFT: Social media based profile fusion technique for data enrichment.
Comput. Networks, 2019

Frequent Pattern Mining on Time and Location Aware Air Quality Data.
IEEE Access, 2019

Face off: Travel Habits, Road Conditions and Traffic City Characteristics Bared Using Twitter.
IEEE Access, 2019

Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Large-Scale Distributed Sparse Class-Imbalance Learning.
Inf. Sci., 2018

A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex.
CoRR, 2018

SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF.
CoRR, 2018

Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting.
IEEE Access, 2018

Do Public and Government Think Similar About Indian Cleanliness Campaign?
Proceedings of the Information Management and Big Data, 5th International Conference, 2018

Parallel Framework for Unsupervised Classification of Seismic Facies.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Spatio-Temporal Frequent Itemset Mining on Web Data.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Predicting Particulate Matter for Assessing Air Quality in Delhi Using Meteorological Features.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

Visibility Prediction in Urban Localities Using Clustering.
Proceedings of the Advances in Computing and Data Science, 2018

Location Prediction Using Sentiments of Twitter Users.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

2017
Prediction of places of visit using tweets.
Knowl. Inf. Syst., 2017

Scalable two-phase co-occurring sensitive pattern hiding using MapReduce.
J. Big Data, 2017

A comparative analysis of heterogeneity in road accident data using data mining techniques.
Evol. Syst., 2017

Extracting Patterns and Variations in Air Quality of Four Tier I Cities in India.
Proceedings of the 2017 IEEE World Congress on Services, 2017

Improving Infrastructure for Transportation Systems Using Clustering.
Proceedings of the Big Data Analytics - 5th International Conference, 2017

2016
Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC).
J. Big Data, 2016

A novel framework to analyze road accident time series data.
J. Big Data, 2016

Online sparse class imbalance learning on big data.
Neurocomputing, 2016

Twitter Can Predict Your Next Place of Visit.
Int. J. Distributed Sens. Networks, 2016

A Generalized Framework for Quantifying Trust of Social Media Text Documents.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

GenIt-e-MoTo: Generation of intelligence to envisage modus operandi of terror outfits.
Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016

Analyzing civic complaints for proactive maintenance in smart city.
Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016

2015
A data mining framework to analyze road accident data.
J. Big Data, 2015

Online anomaly detection via class-imbalance learning.
Proceedings of the Eighth International Conference on Contemporary Computing, 2015

How Has Twitter Changed the Event Discussion Scenario? A Spatio-temporal Diffusion Analysis.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

Multistage Classification for Cardiovascular Disease Risk Prediction.
Proceedings of the Big Data Analytics - 4th International Conference, 2015

2014
Variance and density-based anomaly identification and ranking for evolving data streams.
Int. J. Comput. Intell. Stud., 2014

A Generalized Relationship Mining Method for Social Media Text Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

Aspect based Summarization of Context Dependent Opinion Words.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

EventStory: Event Detection Using Twitter Stream Based on Locality.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Trend Analysis of Time Series Data Using Data Mining Techniques.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
Privacy preserving association rule mining over distributed databases using genetic algorithm.
Neural Comput. Appl., 2013

Clustering genome data based on approximate matching.
Int. J. Data Anal. Tech. Strateg., 2013

Sub-event detection during natural hazards using features of social media data.
Proceedings of the 22nd International World Wide Web Conference, 2013

Smart Phone Based Indoor Pedestrian Localization System (S).
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

Feature based Summarization of Customers' Reviews of Online Products.
Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

A Novel Agglomerative Hierarchical Approach for Clustering in Medical Databases.
Proceedings of the Recent Advances in Intelligent Informatics, 2013

Smart Phone Based Indoor Pedestrian Localization System.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

Extracting anomalies from time sequences derived from nuclear power plant data by using fixed width clustering algorithm.
Proceedings of the International Conference on Advances in Computing, 2013

Anomaly Detection and Similarity Search in Neutron Monitor Data for Predictive Maintenance of Nuclear Power Plants.
Proceedings of the 2013 2nd International Conference on Advanced Computing, 2013

2012
Corrigendum to "Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams" [J. Network Comput. Appl. 35 (3) (2012) 1116-1129].
J. Netw. Comput. Appl., 2012

Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams.
J. Netw. Comput. Appl., 2012

Effective framework for protein structure prediction.
Int. J. Funct. Informatics Pers. Medicine, 2012

A Novel Rough Set Based Clustering Approach for Streaming Data.
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

Pre-clustering algorithm for anomaly detection and clustering that uses variable size buckets.
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012

Unsupervised outlier detection in streaming data using weighted clustering.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

A framework for classification using genetic algorithm based clustering.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Distributed frequent itemset mining framework for incremental data using MPI-style WSRF services.
Proceedings of the 2012 International Conference on Advances in Computing, 2012

2011
A New Approach: Role of Data Mining in Prediction of Survival of Burn Patients.
J. Medical Syst., 2011

Classification of type-2 diabetic patients by using Apriori and predictive Apriori.
Int. J. Comput. Vis. Robotics, 2011

Optimal Clustering Method Based on Genetic Algorithm.
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011

Species identification based on approximate matching.
Proceedings of the 4th Bangalore Annual Compute Conference, Compute 2011, 2011

2010
Shape pattern matching: A tool to cluster unstructured text documents.
J. Comput. Methods Sci. Eng., 2010

Effective framework for prediction of disease outcome using medical datasets: clustering and classification.
Int. J. Comput. Intell. Stud., 2010

Hybrid prediction model for Type-2 diabetic patients.
Expert Syst. Appl., 2010

Efficient Support Coupled Frequent Pattern Mining Over Progressive Databases
CoRR, 2010

Privacy-Preserving Naïve Bayes Classification Using Trusted Third Party and Offset Computation over Distributed Databases.
Proceedings of the Information and Communication Technologies - International Conference, 2010

Instance-Based Classification of Streaming Data Using Emerging Patterns.
Proceedings of the Information and Communication Technologies - International Conference, 2010

Efficient Mining of Frequent Items Coupled with Weight and /or Support over Progressive Databases.
Proceedings of the Data Engineering and Management - Second International Conference, 2010

Missing Value Imputation Based on K-Mean Clustering with Weighted Distance.
Proceedings of the Contemporary Computing - Third International Conference, 2010

Impact of K-Means on the Performance of Classifiers for Labeled Data.
Proceedings of the Contemporary Computing - Third International Conference, 2010

Hiding co-occurring sensitive patterns in progressive databases.
Proceedings of the 2010 EDBT/ICDT Workshops, Lausanne, Switzerland, March 22-26, 2010, 2010

A Border-Based Approach for Hiding Fuzzy Weighted Sensitive Itemsets.
Proceedings of The 2010 International Conference on Data Mining, 2010

2009
Feature extraction from time series data.
J. Comput. Methods Sci. Eng., 2009

Using Shape Patterns for Clustering Unstructured Text Documents.
Proceedings of the 18th International Conference on Software Engineering and Data Engineering (SEDE-2009), 2009

Privacy Preserving Sequential Pattern Mining in Progressive Databases Using Noisy Data.
Proceedings of the 13th International Conference on Information Visualisation, 2009

A Hierarchical Clustering Scheme for Unstructured Text Data.
Proceedings of the 2009 International Conference on Information & Knowledge Engineering, 2009

2008
Using Moments for Feature Extraction from Time Series Data.
Proceedings of the 17th International Conference on Software Engineering and Data Engineering (SEDE-2008), June 30, 2008

E-CAP: An Extended Capability Based Mechanism to Limit Distributed Denial of Service Attacks.
Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, 2008

2007
Distributed Certification Authority for Mobile Ad Hoc Networks - A Dynamic Approach.
J. Convergence Inf. Technol., 2007

Finding Associations in Time Series Data Using Centroids.
Proceedings of the 2007 International Conference on Data Mining, 2007

2005
Similarity Search in Time Series Data Using Time Weighted Slopes.
Informatica (Slovenia), 2005

Finding Similarity in Time Series Data by Method of Time Weighted Moments.
Proceedings of the Database Technologies 2005, 2005

2004
Similarity search in time series databases using moments.
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004


  Loading...