Similarity search in time series databases using moments. - Durga Toshniwal; Ramesh Chandra Joshi (ICMLA, 2004)

Finding Similarity in Time Series Data by Method of Time Weighted Moments. - Durga Toshniwal; Ramesh C. Joshi (ADC, 2005)

Similarity Search in Time Series Data Using Time Weighted Slopes. - Durga Toshniwal; Ramesh C. Joshi (Informatica (Slovenia), 2005)

Finding Associations in Time Series Data Using Centroids. - Durga Toshniwal; Ramesh C. Joshi (DMIN, 2007)

Distributed Certification Authority for Mobile Ad Hoc Networks - A Dynamic Approach. - Sanjay Raghani; Durga Toshniwal (J. Convergence Inf. Technol., 2007)

E-CAP: An Extended Capability Based Mechanism to Limit Distributed Denial of Service Attacks. - Rajeev Singh; Suman Das; Durga Toshniwal; Manoj Mishra; Ramesh C. Joshi (ICETET, 2008)

Using Moments for Feature Extraction from Time Series Data. - Durga Toshniwal (SEDE, 2008)

A Hierarchical Clustering Scheme for Unstructured Text Data. - Durga Toshniwal; Rishiraj Saha Roy (IKE, 2009)

Privacy Preserving Sequential Pattern Mining in Progressive Databases Using Noisy Data. - Amruta Mhatre; Mridula Verma; Durga Toshniwal (IV, 2009)

Using Shape Patterns for Clustering Unstructured Text Documents. - Durga Toshniwal; Rishiraj Saha Roy (SEDE, 2009)

Feature extraction from time series data. - Durga Toshniwal (J. Comput. Methods Sci. Eng., 2009)

A Border-Based Approach for Hiding Fuzzy Weighted Sensitive Itemsets. - Durga Toshniwal; Mridula Verma (DMIN, 2010)

Hiding co-occurring sensitive patterns in progressive databases. - Amruta Mhatre; Durga Toshniwal (EDBT/ICDT Workshops, 2010)

Impact of K-Means on the Performance of Classifiers for Labeled Data. - Bankat M. Patil; Ramesh C. Joshi; Durga Toshniwal (IC3 (1), 2010)

Missing Value Imputation Based on K-Mean Clustering with Weighted Distance. - Bankat M. Patil; Ramesh C. Joshi; Durga Toshniwal (IC3 (1), 2010)

Efficient Mining of Frequent Items Coupled with Weight and /or Support over Progressive Databases. - Bettahally N. Keshavamurthy; Mitesh Sharma; Durga Toshniwal (ICDEM, 2010)

Instance-Based Classification of Streaming Data Using Emerging Patterns. - Mohd. Amir; Durga Toshniwal (ICT, 2010)

Privacy-Preserving Naïve Bayes Classification Using Trusted Third Party and Offset Computation over Distributed Databases. - Bettahally N. Keshavamurthy; Mitesh Sharma; Durga Toshniwal (ICT, 2010)

Efficient Support Coupled Frequent Pattern Mining Over Progressive Databases - Bettahally N. Keshavamurthy; Mitesh Sharma; Durga Toshniwal (CoRR, 2010)

Hybrid prediction model for Type-2 diabetic patients. - Bankat M. Patil; Ramesh Chandra Joshi; Durga Toshniwal (Expert Syst. Appl., 2010)

Effective framework for prediction of disease outcome using medical datasets: clustering and classification. - Bankat M. Patil; Ramesh C. Joshi; Durga Toshniwal (Int. J. Comput. Intell. Stud., 2010)

Shape pattern matching: A tool to cluster unstructured text documents. - Durga Toshniwal; Rishiraj Saha Roy (J. Comput. Methods Sci. Eng., 2010)

Species identification based on approximate matching. - Nagamma Patil; Durga Toshniwal; Kumkum Garg (Bangalore Compute Conf., 2011)

Optimal Clustering Method Based on Genetic Algorithm. - Satish Gajawada; Durga Toshniwal; Nagamma Patil; Kumkum Garg (SocProS (2), 2011)

Classification of type-2 diabetic patients by using Apriori and predictive Apriori. - Bankat M. Patil; Ramesh C. Joshi; Durga Toshniwal (Int. J. Comput. Vis. Robotics, 2011)

A New Approach: Role of Data Mining in Prediction of Survival of Burn Patients. - Bankat M. Patil; Ramesh C. Joshi; Durga Toshniwal; Siddeshwar Biradar (J. Medical Syst., 2011)

Distributed frequent itemset mining framework for incremental data using MPI-style WSRF services. - Harish Verma; Durga Toshniwal; Sateesh Kumar Peddoju (ICACCI, 2012)

A framework for classification using genetic algorithm based clustering. - Satish Gajawada; Durga Toshniwal (ISDA, 2012)

Unsupervised outlier detection in streaming data using weighted clustering. - Yogita Thakran; Durga Toshniwal (ISDA, 2012)

Pre-clustering algorithm for anomaly detection and clustering that uses variable size buckets. - Manish Sharma; Durga Toshniwal (RAIT, 2012)

A Novel Rough Set Based Clustering Approach for Streaming Data. - Yogita Thakran; Durga Toshniwal (SocProS, 2012)

Effective framework for protein structure prediction. - Nagamma Patil; Durga Toshniwal; Kumkum Garg (Int. J. Funct. Informatics Pers. Medicine, 2012)

Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams. - Bettahally N. Keshavamurthy; Durga Toshniwal; Bhavani K. Eshwar (J. Netw. Comput. Appl., 2012)

Corrigendum to "Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams" [J. Network Comput. Appl. 35 (3) (2012) 1116-1129]. - Bettahally N. Keshavamurthy; Durga Toshniwal; Bhavani K. Eshwar (J. Netw. Comput. Appl., 2012)

Anomaly Detection and Similarity Search in Neutron Monitor Data for Predictive Maintenance of Nuclear Power Plants. - Kapil Agarwal; Durga Toshniwal; Pramod K. Gupta; Vikas Khurana; Pushp Upadhyay (ADCONS, 2013)

Extracting anomalies from time sequences derived from nuclear power plant data by using fixed width clustering algorithm. - Aditya Gupta; Durga Toshniwal; Pramod K. Gupta; Vikas Khurana; Pushp Upadhyay (ICACCI, 2013)

Smart Phone Based Indoor Pedestrian Localization System. - Lokesh Agrawal; Durga Toshniwal (ICCSA (6), 2013)

A Novel Agglomerative Hierarchical Approach for Clustering in Medical Databases. - Yogita Thakran; Durga Toshniwal (ISI, 2013)

Feature based Summarization of Customers' Reviews of Online Products. - Kushal Bafna; Durga Toshniwal (KES, 2013)

Smart Phone Based Indoor Pedestrian Localization System (S). - Lokesh Agrawal; Durga Toshniwal (SEKE, 2013)

Sub-event detection during natural hazards using features of social media data. - Dhekar Abhik; Durga Toshniwal (WWW (Companion Volume), 2013)

Clustering genome data based on approximate matching. - Nagamma Patil; Durga Toshniwal; Kumkum Garg (Int. J. Data Anal. Tech. Strateg., 2013)

Privacy preserving association rule mining over distributed databases using genetic algorithm. - Bettahally N. Keshavamurthy; Asad Khan; Durga Toshniwal (Neural Comput. Appl., 2013)

Trend Analysis of Time Series Data Using Data Mining Techniques. - Arpit Baheti; Durga Toshniwal (BigData Congress, 2014)

EventStory: Event Detection Using Twitter Stream Based on Locality. - Sorab Bisht; Durga Toshniwal (IDEAL, 2014)

Aspect based Summarization of Context Dependent Opinion Words. - Hitesh Kansal; Durga Toshniwal (KES, 2014)

A Generalized Relationship Mining Method for Social Media Text Data. - Tuhin Sharma; Durga Toshniwal (MLDM, 2014)

Variance and density-based anomaly identification and ranking for evolving data streams. - Yogita Thakran; Durga Toshniwal (Int. J. Comput. Intell. Stud., 2014)

Multistage Classification for Cardiovascular Disease Risk Prediction. - Durga Toshniwal; Bharat Goel; Hina Sharma (BDA, 2015)

How Has Twitter Changed the Event Discussion Scenario? A Spatio-temporal Diffusion Analysis. - Purva Pruthi; Anu Yadav; Farheen Abbasi; Durga Toshniwal (BigData Congress, 2015)

Online anomaly detection via class-imbalance learning. - Chandresh Kumar Maurya; Durga Toshniwal; Gopalan Vijendran Venkoparao (IC3, 2015)

A data mining framework to analyze road accident data. - Sachin Kumar 001; Durga Toshniwal (J. Big Data, 2015)

Analyzing civic complaints for proactive maintenance in smart city. - Preeti Bansal; Durga Toshniwal (ICIS, 2016)

GenIt-e-MoTo: Generation of intelligence to envisage modus operandi of terror outfits. - Sumit Singh; Durga Toshniwal; Akhil Gupta; Shreyas Verma (ICIS, 2016)

A Generalized Framework for Quantifying Trust of Social Media Text Documents. - Tuhin Sharma; Durga Toshniwal (MLDM, 2016)

Twitter Can Predict Your Next Place of Visit. - Arun Chauhan 002; Ravi Tejwani; Durga Toshniwal (Int. J. Distributed Sens. Networks, 2016)

Online sparse class imbalance learning on big data. - Chandresh Kumar Maurya; Durga Toshniwal; Gopalan Vijendran Venkoparao (Neurocomputing, 2016)

A novel framework to analyze road accident time series data. - Sachin Kumar 001; Durga Toshniwal (J. Big Data, 2016)

Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC). - Sachin Kumar 001; Durga Toshniwal (J. Big Data, 2016)

Improving Infrastructure for Transportation Systems Using Clustering. - Prashant Rajput; Durga Toshniwal; Apeksha Aggarwal (BDA, 2017)

Extracting Patterns and Variations in Air Quality of Four Tier I Cities in India. - Alka Yadav; Durga Toshniwal (SERVICES, 2017)

A comparative analysis of heterogeneity in road accident data using data mining techniques. - Sachin Kumar 001; Durga Toshniwal; Manoranjan Parida (Evol. Syst., 2017)

Scalable two-phase co-occurring sensitive pattern hiding using MapReduce. - Shivani Sharma; Durga Toshniwal (J. Big Data, 2017)

Prediction of places of visit using tweets. - Arun Chauhan 002; Krishna Kummamuru; Durga Toshniwal (Knowl. Inf. Syst., 2017)

Location Prediction Using Sentiments of Twitter Users. - Ritu Singh; Durga Toshniwal (DaWaK, 2018)

Visibility Prediction in Urban Localities Using Clustering. - Apeksha Aggarwal; Durga Toshniwal (ICACDS (2), 2018)

Predicting Particulate Matter for Assessing Air Quality in Delhi Using Meteorological Features. - Apeksha Aggarwal; Durga Toshniwal (ICCSA (1), 2018)

Spatio-Temporal Frequent Itemset Mining on Web Data. - Apeksha Aggarwal; Durga Toshniwal (ICDM Workshops, 2018)

Parallel Framework for Unsupervised Classification of Seismic Facies. - Jatin Bedi; Durga Toshniwal (MLDM (2), 2018)

Do Public and Government Think Similar About Indian Cleanliness Campaign? - Aarzoo Dhiman; Durga Toshniwal (SIMBig, 2018)

Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting. - Jatin Bedi; Durga Toshniwal (IEEE Access, 2018)

SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF. - Jatin Bedi; Durga Toshniwal (CoRR, 2018)

A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex. - Amit Agarwal 005; Brijraj Singh; Jatin Bedi; Durga Toshniwal (CoRR, 2018)

Large-Scale Distributed Sparse Class-Imbalance Learning. - Chandresh Kumar Maurya; Durga Toshniwal (Inf. Sci., 2018)

Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study. - Amit Agarwal 005; Durga Toshniwal; Jatin Bedi (PKDD/ECML Workshops (2), 2019)

Face off: Travel Habits, Road Conditions and Traffic City Characteristics Bared Using Twitter. - Amit Agarwal 005; Durga Toshniwal (IEEE Access, 2019)

Frequent Pattern Mining on Time and Location Aware Air Quality Data. - Apeksha Aggarwal; Durga Toshniwal (IEEE Access, 2019)

SmPFT: Social media based profile fusion technique for data enrichment. - Amit Agarwal 005; Durga Toshniwal (Comput. Networks, 2019)

MOWM: Multiple Overlapping Window Method for RBF based missing value prediction on big data. - Brijraj Singh; Durga Toshniwal (Expert Syst. Appl., 2019)

Global Awareness Landscape for Ailments - A Twitter Based Microscopic View Into Thought Processes of People. - Durga Toshniwal; Soumya Somani; Rohit Aggarwal; Preeti Malik (Frontiers Big Data, 2019)

Shunt connection: An intelligent skipping of contiguous blocks for optimizing MobileNet-V2. - Brijraj Singh; Durga Toshniwal; Sharan Kumar Allur (Neural Networks, 2019)

Global Road Damage Detection: State-of-the-art Solutions. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Hiroshi Omata; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE BigData, 2020)

An Unsupervised Misinformation Detection Framework to Analyze the Users using COVID-19 Twitter Data. - Aarzoo Dhiman; Durga Toshniwal (IEEE BigData, 2020)

Closed Itemset based Sensitive Pattern Hiding for Improved Data Utility and Scalability. - Himanshu Makkar; Durga Toshniwal; Shalini Jangra (IEEE BigData, 2020)

Real-time estimation of COVID-19 cases using machine learning and mathematical models - The case of India. - Pratima Kumari; Durga Toshniwal (ICIIS, 2020)

Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning. - Narayan Chaturvedi; Durga Toshniwal; Manoranjan Parida (AIAI (2), 2020)

Data Decomposition Based Learning for Load Time-Series Forecasting. - Jatin Bedi; Durga Toshniwal (PKDD/ECML Workshops, 2020)

An Approximate Model for Event Detection From Twitter Data. - Aarzoo Dhiman; Durga Toshniwal (IEEE Access, 2020)

MR-OVnTSA: a heuristics based sensitive pattern hiding approach for big data. - Shivani Sharma; Durga Toshniwal (Appl. Intell., 2020)

A sanitization approach for big data with improved data utility. - Udit Sharma; Durga Toshniwal; Shivani Sharma (Appl. Intell., 2020)

Energy load time-series forecast using decomposition and autoencoder integrated memory network. - Jatin Bedi; Durga Toshniwal (Appl. Soft Comput., 2020)

Sequential pattern mining combined multi-criteria decision-making for farmers' queries characterization. - Samarth Godara; Durga Toshniwal (Comput. Electron. Agric., 2020)

An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets. - Aarzoo Dhiman; Durga Toshniwal (CoRR, 2020)

Transfer Learning-based Road Damage Detection for Multiple Countries. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Alexander Mraz; Takehiro Kashiyama; Yoshihide Sekimoto (CoRR, 2020)

MR-I MaxMin-scalable two-phase border based knowledge hiding technique using MapReduce. - Shivani Sharma; Durga Toshniwal (Future Gener. Comput. Syst., 2020)

VIDPSO: Victim item deletion based PSO inspired sensitive pattern hiding algorithm for dense datasets. - Shalini Jangra; Durga Toshniwal (Inf. Process. Manag., 2020)

Features denoising-based learning for porosity classification. - Jatin Bedi; Durga Toshniwal (Neural Comput. Appl., 2020)

Distributed Sparse Class-Imbalance Learning and Its Applications. - Chandresh Kumar Maurya; Durga Toshniwal; Gopalan Vijendran Venkoparao (IEEE Trans. Big Data, 2021)

Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak. - Amit Agarwal 005; Deepak Uniyal; Durga Toshniwal; Dipanjan Deb (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

AI-Driven Road Condition Monitoring across Multiple Nations. - Deeksha Arya; Sanjay Kumar Ghosh; Durga Toshniwal (AAAI, 2022)

Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River. - Neha Pant; Durga Toshniwal; Bhola Ram Gurjar (AALTD@ECML/PKDD, 2022)

Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Hiroshi Omata; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE Big Data, 2022)

Neuron Specific Pruning for Communication Efficient Federated Learning. - Gaurav Kumar; Durga Toshniwal (CIKM, 2022)

Deep Learning-based query-count forecasting using farmers' helpline data. - Samarth Godara; Durga Toshniwal (Comput. Electron. Agric., 2022)

AgriMine: A Deep Learning integrated Spatio-temporal analytics framework for diagnosing nationwide agricultural issues using farmers' helpline data. - Samarth Godara; Durga Toshniwal; Rajender Parsad; Ram Swaroop Bana; Deepak Singh; Jatin Bedi; Abimanyu Jhajhria; Jai Prakash Singh Dabas; Sudeep Marwaha (Comput. Electron. Agric., 2022)

RDD2022: A multi-national image dataset for automatic Road Damage Detection. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Yoshihide Sekimoto (CoRR, 2022)

AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns. - Aarzoo Dhiman; Durga Toshniwal (Expert Syst. Appl., 2022)

Efficient algorithms for victim item selection in privacy-preserving utility mining. - Shalini Jangra; Durga Toshniwal (Future Gener. Comput. Syst., 2022)

Deep Reinforcement Learning based Data Placement optimization in Data Center Networks. - Ravi Kaler; Durga Toshniwal (IEEE Big Data, 2023)

Label Hierarchy Alignment for Improved Hierarchical Text Classification. - Ashish Kumar; Durga Toshniwal (IEEE Big Data, 2023)

A Novel Ensemble-Based Framework for Feature Identification and Classification of COVID-19 Electronic Health Record Data. - Asmita Mahajan; Durga Toshniwal (IEEE Big Data, 2023)

A hybrid model for Forecasting Biological Oxygen Demand using CEEMDAN-LSTM. - Neha Pant; Durga Toshniwal; Bhola Ram Gurjar (GeoSocial@SIGSPATIAL, 2023)

AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data. - Samarth Godara; Durga Toshniwal; Ram Swaroop Bana; Deepak Singh; Jatin Bedi; Rajender Parsad; Jai Prakash Singh Dabas; Abimanyu Jhajhria; Shruti Godara; Raju Kumar; Sudeep Marwaha (Eng. Appl. Artif. Intell., 2023)

Statistical limitations of sensitive itemset hiding methods. - Shalini Jangra; Durga Toshniwal; Chris Clifton (Appl. Intell., 2023)

Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement Learning. - Dharmendra Prajapat; Durga Toshniwal (IEEE Big Data, 2024)

Local Hierarchy-Aware Text-Label Association for Hierarchical Text Classification. - Ashish Kumar; Durga Toshniwal (DSAA, 2024)

Forecasting Dissolved Oxygen Based on Two-Stage Decomposition with BiLSTM-Attention and weighted Huber Loss Function. - Neha Pant; Durga Toshniwal; Bhola Ram Gurjar (DSAA, 2024)

Unveiling themes in judicial proceedings: A cross-country study using topic modeling on legal documents from India and the UK. - Krish Didwania; Durga Toshniwal; Amit Agarwal 005 (JOWO, 2024)

Modeling Text-Label Alignment for Hierarchical Text Classification. - Ashish Kumar; Durga Toshniwal (ECML/PKDD (6), 2024)

Self-Supervison with data-augmentation improves few-shot learning. - Prashant Kumar; Durga Toshniwal (Appl. Intell., 2024)

FedNISP: Neuron Importance Scope Propagation pruning for communication efficient federated learning. - Gaurav Kumar; Durga Toshniwal (Comput. Electr. Eng., 2024)

Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions. - Shivank Garg; Abhishek Baghel; Amit Agarwal 005; Durga Toshniwal (CoRR, 2024)

TLDR: Traffic Light Detection using Fourier Domain Adaptation in Hostile WeatheR. - Ishaan Gakhar; Aryesh Guha; Aryaman Gupta; Amit Agarwal 005; Durga Toshniwal; Ujjwal Verma (CoRR, 2024)

Lifelong learning gets better with MixUp and unsupervised continual representation. - Prashant Kumar; Durga Toshniwal (Appl. Intell., 2024)

Heuristic Data Placement in Distributed Hierarchical Storage Network Using Deep Reinforcement Learning. - Ravi Kaler; Durga Toshniwal (CCNC, 2025)