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2020 – today
- 2024
[j49]Prashant Kumar
, Durga Toshniwal:
Self-Supervison with data-augmentation improves few-shot learning. Appl. Intell. 54(4): 2976-2997 (2024)- [j48]Prashant Kumar, Durga Toshniwal:
Lifelong learning gets better with MixUp and unsupervised continual representation. Appl. Intell. 54(7): 5235-5252 (2024) - [j47]Gaurav Kumar, Durga Toshniwal:
FedNISP: Neuron Importance Scope Propagation pruning for communication efficient federated learning. Comput. Electr. Eng. 118: 109349 (2024) - [c66]Ashish Kumar, Durga Toshniwal:
Local Hierarchy-Aware Text-Label Association for Hierarchical Text Classification. DSAA 2024: 1-10 - [c65]Neha Pant, Durga Toshniwal, Bhola Ram Gurjar:
Forecasting Dissolved Oxygen Based on Two-Stage Decomposition with BiLSTM-Attention and weighted Huber Loss Function. DSAA 2024: 1-10 - [c64]Krish Didwania, Durga Toshniwal, Amit Agarwal:
Unveiling themes in judicial proceedings: A cross-country study using topic modeling on legal documents from India and the UK. JOWO 2024 - [c63]Ashish Kumar, Durga Toshniwal:
Modeling Text-Label Alignment for Hierarchical Text Classification. ECML/PKDD (6) 2024: 163-179 - [i14]Krish Didwania, Durga Toshniwal, Amit Agarwal:
Unveiling Themes in Judicial Proceedings: A Cross-Country Study Using Topic Modeling on Legal Documents from India and the UK. CoRR abs/2406.00040 (2024) - [i13]Shivank Garg, Abhishek Baghel, Amit Agarwal, Durga Toshniwal:
Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions. CoRR abs/2406.13473 (2024) - [i12]Ashish Kumar, Durga Toshniwal:
Modeling Text-Label Alignment for Hierarchical Text Classification. CoRR abs/2409.00788 (2024) - [i11]Dharmendra Prajapat, Durga Toshniwal:
Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement Learning. CoRR abs/2411.05340 (2024) - [i10]Ishaan Gakhar, Aryesh Guha, Aryaman Gupta, Amit Agarwal, Durga Toshniwal, Ujjwal Verma:
TLDR: Traffic Light Detection using Fourier Domain Adaptation in Hostile WeatheR. CoRR abs/2411.07901 (2024) - 2023
- [j46]Shalini Jangra, Durga Toshniwal, Chris Clifton:
Statistical limitations of sensitive itemset hiding methods. Appl. Intell. 53(20): 24275-24292 (2023) - [j45]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:
AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data. Eng. Appl. Artif. Intell. 117(Part): 105555 (2023) - [c62]Ashish Kumar, Durga Toshniwal:
Label Hierarchy Alignment for Improved Hierarchical Text Classification. IEEE Big Data 2023: 1174-1179 - [c61]Ravi Kaler, Durga Toshniwal:
Deep Reinforcement Learning based Data Placement optimization in Data Center Networks. IEEE Big Data 2023: 2293-2302 - [c60]Asmita Mahajan, Durga Toshniwal:
A Novel Ensemble-Based Framework for Feature Identification and Classification of COVID-19 Electronic Health Record Data. IEEE Big Data 2023: 3711-3720 - [c59]Neha Pant, Durga Toshniwal, Bhola Ram Gurjar:
A hybrid model for Forecasting Biological Oxygen Demand using CEEMDAN-LSTM. GeoSocial@SIGSPATIAL 2023: 24-27 - 2022
- [j44]Samarth Godara, Durga Toshniwal:
Deep Learning-based query-count forecasting using farmers' helpline data. Comput. Electron. Agric. 196: 106875 (2022) - [j43]Samarth Godara, Durga Toshniwal, Rajender Parsad, Ram Swaroop Bana, Deepak Singh, Jatin Bedi, Abimanyu Jhajhria, Jai Prakash Singh Dabas, Sudeep Marwaha:
AgriMine: A Deep Learning integrated Spatio-temporal analytics framework for diagnosing nationwide agricultural issues using farmers' helpline data. Comput. Electron. Agric. 201: 107308 (2022) - [j42]Aarzoo Dhiman, Durga Toshniwal:
AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns. Expert Syst. Appl. 203: 117338 (2022) - [j41]Shalini Jangra, Durga Toshniwal:
Efficient algorithms for victim item selection in privacy-preserving utility mining. Future Gener. Comput. Syst. 128: 219-234 (2022) - [c58]Deeksha Arya, Sanjay Kumar Ghosh, Durga Toshniwal:
AI-Driven Road Condition Monitoring across Multiple Nations. AAAI 2022: 12868-12869 - [c57]Neha Pant, Durga Toshniwal, Bhola Ram Gurjar:
Application of Attention Mechanism Combined with Long Short-Term Memory for Forecasting Dissolved Oxygen in Ganga River. AALTD@ECML/PKDD 2022: 105-116 - [c56]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). IEEE Big Data 2022: 6378-6386 - [c55]Gaurav Kumar, Durga Toshniwal:
Neuron Specific Pruning for Communication Efficient Federated Learning. CIKM 2022: 4148-4152 - [i9]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto:
RDD2022: A multi-national image dataset for automatic Road Damage Detection. CoRR abs/2209.08538 (2022) - [i8]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022). CoRR abs/2211.11362 (2022) - 2021
- [j40]Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao:
Distributed Sparse Class-Imbalance Learning and Its Applications. IEEE Trans. Big Data 7(5): 832-844 (2021) - [j39]Amit Agarwal, Deepak Uniyal, Durga Toshniwal, Dipanjan Deb:
Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 308-320 (2021) - 2020
- [j38]Aarzoo Dhiman, Durga Toshniwal:
An Approximate Model for Event Detection From Twitter Data. IEEE Access 8: 122168-122184 (2020) - [j37]Udit Sharma, Durga Toshniwal, Shivani Sharma:
A sanitization approach for big data with improved data utility. Appl. Intell. 50(7): 2025-2039 (2020) - [j36]Shivani Sharma, Durga Toshniwal:
MR-OVnTSA: a heuristics based sensitive pattern hiding approach for big data. Appl. Intell. 50(12): 4241-4260 (2020) - [j35]Jatin Bedi, Durga Toshniwal:
Energy load time-series forecast using decomposition and autoencoder integrated memory network. Appl. Soft Comput. 93: 106390 (2020) - [j34]Samarth Godara, Durga Toshniwal:
Sequential pattern mining combined multi-criteria decision-making for farmers' queries characterization. Comput. Electron. Agric. 173: 105448 (2020) - [j33]Shivani Sharma, Durga Toshniwal:
MR-I MaxMin-scalable two-phase border based knowledge hiding technique using MapReduce. Future Gener. Comput. Syst. 109: 538-550 (2020) - [j32]Shalini Jangra, Durga Toshniwal:
VIDPSO: Victim item deletion based PSO inspired sensitive pattern hiding algorithm for dense datasets. Inf. Process. Manag. 57(5): 102255 (2020) - [j31]Jatin Bedi, Durga Toshniwal:
Features denoising-based learning for porosity classification. Neural Comput. Appl. 32(21): 16519-16532 (2020) - [c54]Aarzoo Dhiman, Durga Toshniwal:
An Unsupervised Misinformation Detection Framework to Analyze the Users using COVID-19 Twitter Data. IEEE BigData 2020: 679-688 - [c53]Himanshu Makkar, Durga Toshniwal, Shalini Jangra:
Closed Itemset based Sensitive Pattern Hiding for Improved Data Utility and Scalability. IEEE BigData 2020: 4026-4035 - [c52]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Global Road Damage Detection: State-of-the-art Solutions. IEEE BigData 2020: 5533-5539 - [c51]Pratima Kumari, Durga Toshniwal:
Real-time estimation of COVID-19 cases using machine learning and mathematical models - The case of India. ICIIS 2020: 369-374 - [c50]Narayan Chaturvedi, Durga Toshniwal, Manoranjan Parida:
Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning. AIAI (2) 2020: 281-290 - [c49]Jatin Bedi, Durga Toshniwal:
Data Decomposition Based Learning for Load Time-Series Forecasting. PKDD/ECML Workshops 2020: 62-74 - [i7]Aarzoo Dhiman, Durga Toshniwal:
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets. CoRR abs/2007.06511 (2020) - [i6]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto:
Transfer Learning-based Road Damage Detection for Multiple Countries. CoRR abs/2008.13101 (2020) - [i5]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Global Road Damage Detection: State-of-the-art Solutions. CoRR abs/2011.08740 (2020)
2010 – 2019
- 2019
- [j30]Amit Agarwal, Durga Toshniwal:
Face off: Travel Habits, Road Conditions and Traffic City Characteristics Bared Using Twitter. IEEE Access 7: 66536-66552 (2019) - [j29]Apeksha Aggarwal, Durga Toshniwal:
Frequent Pattern Mining on Time and Location Aware Air Quality Data. IEEE Access 7: 98921-98933 (2019) - [j28]Amit Agarwal, Durga Toshniwal:
SmPFT: Social media based profile fusion technique for data enrichment. Comput. Networks 158: 123-131 (2019) - [j27]Brijraj Singh, Durga Toshniwal:
MOWM: Multiple Overlapping Window Method for RBF based missing value prediction on big data. Expert Syst. Appl. 122: 303-318 (2019) - [j26]Durga Toshniwal, Soumya Somani, Rohit Aggarwal, Preeti Malik:
Global Awareness Landscape for Ailments - A Twitter Based Microscopic View Into Thought Processes of People. Frontiers Big Data 2: 18 (2019) - [j25]Brijraj Singh, Durga Toshniwal, Sharan Kumar Allur:
Shunt connection: An intelligent skipping of contiguous blocks for optimizing MobileNet-V2. Neural Networks 118: 192-203 (2019) - [c48]Amit Agarwal, Durga Toshniwal, Jatin Bedi:
Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study. PKDD/ECML Workshops (2) 2019: 38-53 - 2018
- [j24]Jatin Bedi, Durga Toshniwal:
Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting. IEEE Access 6: 49144-49156 (2018) - [j23]Chandresh Kumar Maurya, Durga Toshniwal:
Large-Scale Distributed Sparse Class-Imbalance Learning. Inf. Sci. 456: 1-12 (2018) - [c47]Ritu Singh, Durga Toshniwal:
Location Prediction Using Sentiments of Twitter Users. DaWaK 2018: 98-108 - [c46]Apeksha Aggarwal, Durga Toshniwal:
Visibility Prediction in Urban Localities Using Clustering. ICACDS (2) 2018: 370-379 - [c45]Apeksha Aggarwal, Durga Toshniwal:
Predicting Particulate Matter for Assessing Air Quality in Delhi Using Meteorological Features. ICCSA (1) 2018: 623-638 - [c44]Apeksha Aggarwal, Durga Toshniwal:
Spatio-Temporal Frequent Itemset Mining on Web Data. ICDM Workshops 2018: 1160-1165 - [c43]Jatin Bedi, Durga Toshniwal:
Parallel Framework for Unsupervised Classification of Seismic Facies. MLDM (2) 2018: 452-467 - [c42]Aarzoo Dhiman, Durga Toshniwal:
Do Public and Government Think Similar About Indian Cleanliness Campaign? SIMBig 2018: 367-380 - [i4]Jatin Bedi, Durga Toshniwal:
SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF. CoRR abs/1806.00193 (2018) - [i3]Amit Agarwal, Brijraj Singh, Jatin Bedi, Durga Toshniwal:
A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex. CoRR abs/1809.00310 (2018) - 2017
- [j22]Sachin Kumar, Durga Toshniwal, Manoranjan Parida:
A comparative analysis of heterogeneity in road accident data using data mining techniques. Evol. Syst. 8(2): 147-155 (2017) - [j21]Shivani Sharma, Durga Toshniwal:
Scalable two-phase co-occurring sensitive pattern hiding using MapReduce. J. Big Data 4: 4 (2017) - [j20]Arun Chauhan, Krishna Kummamuru, Durga Toshniwal:
Prediction of places of visit using tweets. Knowl. Inf. Syst. 50(1): 145-166 (2017) - [c41]Prashant Rajput, Durga Toshniwal, Apeksha Aggarwal:
Improving Infrastructure for Transportation Systems Using Clustering. BDA 2017: 129-143 - [c40]Alka Yadav, Durga Toshniwal:
Extracting Patterns and Variations in Air Quality of Four Tier I Cities in India. SERVICES 2017: 17-20 - 2016
- [j19]Arun Chauhan, Ravi Tejwani, Durga Toshniwal:
Twitter Can Predict Your Next Place of Visit. Int. J. Distributed Sens. Networks 12(2): 9274715:1-9274715:10 (2016) - [j18]Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao:
Online sparse class imbalance learning on big data. Neurocomputing 216: 250-260 (2016) - [j17]Sachin Kumar, Durga Toshniwal:
A novel framework to analyze road accident time series data. J. Big Data 3: 8 (2016) - [j16]Sachin Kumar, Durga Toshniwal:
Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC). J. Big Data 3: 13 (2016) - [c39]Preeti Bansal, Durga Toshniwal:
Analyzing civic complaints for proactive maintenance in smart city. ICIS 2016: 1-6 - [c38]Sumit Singh, Durga Toshniwal, Akhil Gupta, Shreyas Verma:
GenIt-e-MoTo: Generation of intelligence to envisage modus operandi of terror outfits. ICIS 2016: 1-6 - [c37]Tuhin Sharma, Durga Toshniwal:
A Generalized Framework for Quantifying Trust of Social Media Text Documents. MLDM 2016: 692-713 - 2015
- [j15]Sachin Kumar, Durga Toshniwal:
A data mining framework to analyze road accident data. J. Big Data 2: 26 (2015) - [c36]Durga Toshniwal, Bharat Goel, Hina Sharma:
Multistage Classification for Cardiovascular Disease Risk Prediction. BDA 2015: 258-266 - [c35]Purva Pruthi, Anu Yadav, Farheen Abbasi, Durga Toshniwal:
How Has Twitter Changed the Event Discussion Scenario? A Spatio-temporal Diffusion Analysis. BigData Congress 2015: 733-736 - [c34]Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao:
Online anomaly detection via class-imbalance learning. IC3 2015: 30-35 - [i2]Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao:
Online Anomaly Detection via Class-Imbalance Learning. CoRR abs/1508.06717 (2015) - 2014
- [j14]Yogita Thakran, Durga Toshniwal:
Variance and density-based anomaly identification and ranking for evolving data streams. Int. J. Comput. Intell. Stud. 3(2/3): 251-274 (2014) - [c33]Arpit Baheti, Durga Toshniwal:
Trend Analysis of Time Series Data Using Data Mining Techniques. BigData Congress 2014: 430-437 - [c32]Sorab Bisht, Durga Toshniwal:
EventStory: Event Detection Using Twitter Stream Based on Locality. IDEAL 2014: 394-403 - [c31]Hitesh Kansal, Durga Toshniwal:
Aspect based Summarization of Context Dependent Opinion Words. KES 2014: 166-175 - [c30]Tuhin Sharma, Durga Toshniwal:
A Generalized Relationship Mining Method for Social Media Text Data. MLDM 2014: 376-392 - 2013
- [j13]Nagamma Patil, Durga Toshniwal, Kumkum Garg:
Clustering genome data based on approximate matching. Int. J. Data Anal. Tech. Strateg. 5(2): 122-147 (2013) - [j12]Bettahally N. Keshavamurthy, Asad Khan, Durga Toshniwal:
Privacy preserving association rule mining over distributed databases using genetic algorithm. Neural Comput. Appl. 22(Supplement-1): 351-364 (2013) - [c29]Kapil Agarwal, Durga Toshniwal, Pramod K. Gupta, Vikas Khurana, Pushp Upadhyay:
Anomaly Detection and Similarity Search in Neutron Monitor Data for Predictive Maintenance of Nuclear Power Plants. ADCONS 2013: 29-34 - [c28]Aditya Gupta, Durga Toshniwal, Pramod K. Gupta, Vikas Khurana, Pushp Upadhyay:
Extracting anomalies from time sequences derived from nuclear power plant data by using fixed width clustering algorithm. ICACCI 2013: 1587-1592 - [c27]Lokesh Agrawal, Durga Toshniwal:
Smart Phone Based Indoor Pedestrian Localization System. ICCSA (6) 2013: 137-143 - [c26]Yogita Thakran, Durga Toshniwal:
A Novel Agglomerative Hierarchical Approach for Clustering in Medical Databases. ISI 2013: 245-252 - [c25]Kushal Bafna, Durga Toshniwal:
Feature based Summarization of Customers' Reviews of Online Products. KES 2013: 142-151 - [c24]Lokesh Agrawal, Durga Toshniwal:
Smart Phone Based Indoor Pedestrian Localization System (S). SEKE 2013: 283-286 - [c23]Dhekar Abhik, Durga Toshniwal:
Sub-event detection during natural hazards using features of social media data. WWW (Companion Volume) 2013: 783-788 - 2012
- [j11]Nagamma Patil, Durga Toshniwal, Kumkum Garg:
Effective framework for protein structure prediction. Int. J. Funct. Informatics Pers. Medicine 4(1): 69-79 (2012) - [j10]Bettahally N. Keshavamurthy, Durga Toshniwal, Bhavani K. Eshwar:
Hiding co-occurring prioritized sensitive patterns over distributed progressive sequential data streams. J. Netw. Comput. Appl. 35(3): 1116-1129 (2012) - [j9]Bettahally N. Keshavamurthy, Durga Toshniwal, Bhavani K. Eshwar:
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. 35(4): 1374 (2012) - [c22]Harish Verma, Durga Toshniwal, Sateesh Kumar Peddoju:
Distributed frequent itemset mining framework for incremental data using MPI-style WSRF services. ICACCI 2012: 74-81 - [c21]Satish Gajawada, Durga Toshniwal:
A framework for classification using genetic algorithm based clustering. ISDA 2012: 752-757 - [c20]Yogita Thakran, Durga Toshniwal:
Unsupervised outlier detection in streaming data using weighted clustering. ISDA 2012: 947-952 - [c19]Manish Sharma, Durga Toshniwal:
Pre-clustering algorithm for anomaly detection and clustering that uses variable size buckets. RAIT 2012: 515-519 - [c18]Yogita Thakran, Durga Toshniwal:
A Novel Rough Set Based Clustering Approach for Streaming Data. SocProS 2012: 1253-1265 - 2011
- [j8]Bankat M. Patil, Ramesh C. Joshi, Durga Toshniwal:
Classification of type-2 diabetic patients by using Apriori and predictive Apriori. Int. J. Comput. Vis. Robotics 2(3): 254-265 (2011) - [j7]Bankat M. Patil, Ramesh C. Joshi, Durga Toshniwal, Siddeshwar Biradar:
A New Approach: Role of Data Mining in Prediction of Survival of Burn Patients. J. Medical Syst. 35(6): 1531-1542 (2011) - [c17]Nagamma Patil, Durga Toshniwal, Kumkum Garg:
Species identification based on approximate matching. Bangalore Compute Conf. 2011: 30 - [c16]Satish Gajawada, Durga Toshniwal, Nagamma Patil, Kumkum Garg:
Optimal Clustering Method Based on Genetic Algorithm. SocProS (2) 2011: 295-303 - 2010
- [j6]Bankat M. Patil, Ramesh Chandra Joshi, Durga Toshniwal:
Hybrid prediction model for Type-2 diabetic patients. Expert Syst. Appl. 37(12): 8102-8108 (2010) - [j5]Bankat M. Patil, Ramesh C. Joshi, Durga Toshniwal:
Effective framework for prediction of disease outcome using medical datasets: clustering and classification. Int. J. Comput. Intell. Stud. 1(3): 273-290 (2010) - [j4]Durga Toshniwal, Rishiraj Saha Roy:
Shape pattern matching: A tool to cluster unstructured text documents. J. Comput. Methods Sci. Eng. 10(3-6): 73-84 (2010) - [c15]Durga Toshniwal, Mridula Verma:
A Border-Based Approach for Hiding Fuzzy Weighted Sensitive Itemsets. DMIN 2010: 301-307 - [c14]Amruta Mhatre, Durga Toshniwal:
Hiding co-occurring sensitive patterns in progressive databases. EDBT/ICDT Workshops 2010 - [c13]Bankat M. Patil, Ramesh C. Joshi, Durga Toshniwal:
Impact of K-Means on the Performance of Classifiers for Labeled Data. IC3 (1) 2010: 423-434 - [c12]Bankat M. Patil, Ramesh C. Joshi, Durga Toshniwal:
Missing Value Imputation Based on K-Mean Clustering with Weighted Distance. IC3 (1) 2010: 600-609 - [c11]Bettahally N. Keshavamurthy, Mitesh Sharma, Durga Toshniwal:
Efficient Mining of Frequent Items Coupled with Weight and /or Support over Progressive Databases. ICDEM 2010: 309-316 - [c10]Mohd. Amir, Durga Toshniwal:
Instance-Based Classification of Streaming Data Using Emerging Patterns. ICT 2010: 228-236 - [c9]Bettahally N. Keshavamurthy, Mitesh Sharma, Durga Toshniwal:
Privacy-Preserving Naïve Bayes Classification Using Trusted Third Party and Offset Computation over Distributed Databases. ICT 2010: 529-534 - [i1]Bettahally N. Keshavamurthy, Mitesh Sharma, Durga Toshniwal:
Efficient Support Coupled Frequent Pattern Mining Over Progressive Databases. CoRR abs/1005.5434 (2010)
2000 – 2009
- 2009
- [j3]Durga Toshniwal:
Feature extraction from time series data. J. Comput. Methods Sci. Eng. 9(4-6): 99-110 (2009) - [c8]Durga Toshniwal, Rishiraj Saha Roy:
A Hierarchical Clustering Scheme for Unstructured Text Data. IKE 2009: 640-646 - [c7]Amruta Mhatre, Mridula Verma, Durga Toshniwal:
Privacy Preserving Sequential Pattern Mining in Progressive Databases Using Noisy Data. IV 2009: 456-460 - [c6]Durga Toshniwal, Rishiraj Saha Roy:
Using Shape Patterns for Clustering Unstructured Text Documents. SEDE 2009: 13-18 - 2008
- [c5]Rajeev Singh, Suman Das, Durga Toshniwal, Manoj Mishra, Ramesh C. Joshi:
E-CAP: An Extended Capability Based Mechanism to Limit Distributed Denial of Service Attacks. ICETET 2008: 1244-1249 - [c4]Durga Toshniwal:
Using Moments for Feature Extraction from Time Series Data. SEDE 2008: 109-114 - 2007
- [j2]Sanjay Raghani, Durga Toshniwal:
Distributed Certification Authority for Mobile Ad Hoc Networks - A Dynamic Approach. J. Convergence Inf. Technol. 2(2): 10-20 (2007) - [c3]Durga Toshniwal, Ramesh C. Joshi:
Finding Associations in Time Series Data Using Centroids. DMIN 2007: 16-21 - 2005
- [j1]Durga Toshniwal, Ramesh C. Joshi:
Similarity Search in Time Series Data Using Time Weighted Slopes. Informatica (Slovenia) 29(1): 79-88 (2005) - [c2]Durga Toshniwal, Ramesh C. Joshi:
Finding Similarity in Time Series Data by Method of Time Weighted Moments. ADC 2005: 155-164 - 2004
- [c1]Durga Toshniwal, Ramesh Chandra Joshi:
Similarity search in time series databases using moments. ICMLA 2004: 164-171
Coauthor Index
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