News & Event : Hearty Congratulations to PhD Student Shalini for obtaining the highly prestigious and competitive SERB Overseas Visiting Doctoral Fellowship (OVDF) for interning at Purdue University || Congratulations to  Research Scholar Aarzoo for publishing her paper "An Approximate Model for Event Detection From Twitter Data" in IEEE Access  (Impact factor = 4.098).   || Congratulations to student Deeksha for playing a major role for organizing the IEEE BigData Cup Challenge - "Global Road Damage Detection Challenge" a part of IEEE International Conference on Big Data, to be held in Atlanta, GA, USA, December 2020 || Congratulations to Research Scholar Deeksha for giving Invited Talk on "Machine Learning-based Road Condition Assessment using Remote Sensing Data" at the ArasuFest - International Conference on Sequences, Codes, and Designs. Kalamata, Greece, August 2019.  || Congratulations to PhD Student Narayan Chaturvedi for acceptance of research paper in the 16th IFIP WG 12.5 International Conference, AIAI 2020, Greece, June 5-7, 2020 || Congratulations to student Apeksha Aggarwal for publishing paper in IEEE Access, 2019 (Impact factor = 4.05) || Congratulations to student Samarth Godara for publishing paper in Computers and Electronics in Agriculture, Elsevier, 2020 (Impact Factor = 3.171) || Congratulations to students Udit Sharma and Shivani Sharma for publishing paper in Journal of Applied Intelligence , Springer. Impact Factor = 2.712 || Congratulations to research scholar Amit Agarwal for paper in Scientific Reports - Nature, Feb. 2020 || Congratulations to research scholar Ananjay Kumar Singh for paper in AGU fall Meeting, December 2019, San Francisco, USA. || Congratulations to research scholar Amit Agarwal for paper in AGU fall Meeting, December 2019, San Francisco, USA. || Congratulations to research scholar Narayan Chaturvedi for presenting research paper at EASTS 2019 in Colombo, Srilanka, September 2019. || Congratulations to research scholar Amit Agarwal and Jatin Bedi for receiving ACM SIGCHI scholarship to attend the ACM school on user Modeling and Personalization in Urban Computing in Barcelona, Spain September 2019. || Congratulations to research scholar Amit Agarwal and Jatin Bedi for receiving DAAD scholarship to attend the Autumn school ASIRF'19 in Saarland Germany, September 2019. || Congratulations to research scholar Amit Agarwal and Jatin Bedi presenting research paper at ECML/PKDD 2019 at Wurzburg Germany during September 2019. || Congratulations to research scholar Shalini Jangra presenting research paper at ECML/PKDD 2019 at Wurzburg Germany during September 2019. || Congratulations to students for presenting FOUR research works at IJCAI 2019, Macao, China, Aug. 2019 - Nishtha Agarwal ( M Tech CSE), Khushboo Jhunjhunwala (M Tech CSE), Nitesh Rai (M Tech CSE) and Shalini (PhD Scholar) || Congratulations to research scholar Brijraj Singh for his research paper "Shunt connection: An intelligent skipping of contiguous blocks for optimizing MobileNet-V2" in Neural Networks, Elsevier,2019.(Impact Factor 5.785) || Congratulations to research scholar Narayan Chaturvedi for presenting research paper at WCTR 2019 in Mumbai India, May 2019. || Congratulations to research scholar Amit Agarwal for his research paper "Face off: Travel habits, Road conditions and Traffic city characteristics bared using Twitter." in IEEE Access. 2019 (Impact Factor 3.557) || Congratulations to research scholar Amit Agarwal for his research paper "SmPFT: Social media based profile fusion technique for data enrichment." in Computer Networks, Elsevier. (Impact Factor 2.6) || Congratulations to research scholar Jatin Bedi for his research paper "Features denoising-based learning for porosity classification" in Neural Computing and Applications Journal, Springer. (Impact Factor 4.231) || Congratulations to research scholar Jatin Bedi for his research paper "Deep learning framework to forecast electricity demand" in Applied Energy, Elsevier. (Impact Factor 7.90) || Congratulations to research scholar Brijraj Singh for presenting research paper at NIPS 2018 in Montreal, Canada, Dec 2018. || Congratulations to research scholar Jatin Bedi for presenting research paper at MLDM 2018 in Newark, USA, July 2018 || Congratulations to research scholar Apkesha Aggarwal for presenting research paper at ICCSA 2018 in Melborune, Australia, July 2018. || Congratulations to research scholar Jatin Bedi for presenting research paper at SIAM SDM 2018 in San Diego, California, USA, May 2018. || Congratulations to research scholar Aarzoo Dhiman for presenting research paper at SIGKDD 2018 in London, UK, Aug 2018 ||

International Conferences

Details of Some of the recent research papers published are as follows :

  • Shubham Bhatia and Durga Toshniwal,"TF-SProD: Time Fading based Sensitive Pattern Hiding in Progressive Data",The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI’20), (Qualis -A1, ERA -A)

  • Narayan Chaturvedi, Durga Toshniwal and Manoranjan Parida,"Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning" in Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Greece, June 5-7, 2020, Springer IFIP AICT Proceedings.

  • Brijraj Singh and Durga Toshniwal, "Federated Learning based Data Distillation and Augmentation for Improving the Performance of MobileNet-V2" in Workshop on Multi discipline approach for learning concept, ICCV, Oct-2019, Seoul, South Korea 

  • Ananjay Kumar Singh, Durga Toshniwal, "Artificial Intelligence Driven Representation and Learning Approach for Weather Patterns from Big Data Modelled as a Non-Chaotic Dynamical System" in AGU Fall Meeting 2019 , San Francisco, USA.

  • Amit Agarwal, Durga Toshniwal, "Applying Deep Learning Techniques to help humanitarian organizations in recovery response during a disaster: A Twitter based study" in AGU Fall Meeting 2019 , San Francisco, USA.

  • Narayan Chaturvedi, Durga Toshniwal, and M. Parida, "Twitter to Transport: Geo-Spatial Sentiment Analysis of Traffic Tweets to Discover People's Feelings for Urban Transportation Issues" in 13th International East Asian Society of Transportation Studies, Colombo, Srilanka, September 9-11, 2019. (EASTS 2019).

  • Shalini jangra and Durga Toshniwal, "A heuristic approach for sensitive pattern hiding with improved data quality" in ECML/PKDD-2019 workshop, Wurzburg, Germany, Sept 2019.(ERA A, Qualis A2)

  • Amit Agarwal, Durga Toshniwal and Jatin Bedi, "Can Twitter help to predict outcome of 2019 Indian General Election: A deep learning-based study" in ECML/PKDD-2019 Workshop,Wurzburg, Germany, sept 2019.(ERA A, Qualis A2)

  • Shalini Jangra and Durga Toshniwal, "A PSO Inspired Algorithm to Improve Privacy of Business Sensitive Patterns", in 28th International Joint Conference on Artificial Intelligence (IJCAI 2019): The 1st Workshop on Artificial Intelligence for Business Security (AIBS),Macau, China, Aug 2019. (ERA A, Qualis A1)

  • Nitesh Rai, Durga Toshniwal and Manoj Misra ,”Analysis of Gujarat Assembly Elections 2017 through Micro-Blog: Twitter ” in 28th International Joint Conference on Artificial Intelligence (IJCAI 2019): 7th International Workshop on Natural Language Processing for Social Media (SocialNLP@IJCAI 2019),Macao, China, Aug 2019.(ERA A, Qualis A1)

  • Nishtha Agrawal and Durga Toshniwal, "PFSR: Parallelized FP-Tree based Sensitive Patterns Removal Approach", in 28th International Joint Conference on Artificial Intelligence (IJCAI 2019): The 1st Workshop on Artificial Intelligence for Business Security (AIBS),Macau, China, Aug 2019. (ERA A, Qualis A1)

  • Khushbu Jhunjhunuwala and Durga Toshniwal, "Spam Detection using Semantic and Temporal Analysis in Reviews" in 28th International Joint Conference on Artificial Intelligence(IJCAI 2019): The 1st International Workshop on Artificial Intelligence for Business Security(AIBS), Macau, China, Aug 2019. (ERA A, Qualis A1)

  • Nishtha Agrawal and Durga Toshniwal, "Improved Hiding of Business Sensitive Patterns using candidate-less Approach", The 18th International Conference on Information and Knowledge Engineering (IKE 2019).

  • Durga Toshniwal, N. Chaturvedi, M. Parida, A. Garg, C. Choudhary and Y. Choudhary, "Application of clustering algorithms for Spatio-Temporal analysis of urban traffic data," in 15th World Conference on Transport Research (WCTR 2019), Mumbai India, May 2019. (ERA A )

  • Brijraj Singh, Durga Toshniwal, S. Kumar Allur, "Shunt Connection for Optimizing MobileNet V-2" in Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD2), NIPS 2018, Montreal, Canada, Dec 2018. (ERA A, Qualis A1)

  • Jatin Bedi, and Durga Toshniwal, "SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF" in SIAM Conference on Data Mining (SDM 2018): DMG2 Workshop, San Diego, California, USA, May 2018. (ERA A, Qualis A2)

  • Jatin Bedi and Durga Toshniwal, "Parallel Framework for Unsupervised Classification of Seismic Facies" in International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM 2018), pp. 452-467, Newark, USA, July 2018. (Qualis B2)

  • Aarzoo Dhiman and Durga Toshniwal, "Cleanliness Campaign Versus Sanitation Related Diseases - Are they parallel in public perspective?" in 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining : Epidemiology meets Data Mining and Knowledge Discovery Workshop (epiDAMIK2018 at SIGKDD 2018), London, UK, Aug 2018. (ERA A, Qualis A1)

  • Apeksha Aggarwal and Durga Toshniwal, "Spatio-Temporal Frequent Itemset Mining on Web Data," in IEEE International Conference on Data Mining (ICDM 2018) Workshops, Singapore, pp. 1160-1165, Nov. 2018. (ERA A, Qualis A1)

  • Apeksha Aggarwal and Durga Toshniwal, "Predicting Particulate Matter for Assessing Air Quality in Delhi Using Meteorological Features" in International Conference on Computational Science and its Applications (ICCSA 2018), Melborune, Australia, Vol. 1, pp. 623-638, July 2018. (ERA C, Qualis B1)

  • Amit Agarwal, Brijraj Singh, Jatin Bedi, and Durga Toshniwal, "A Data mining Approach for Emotions Extraction and Discovering Cricketers Performance - From Stadium to Sensex" in 11th ACM International conference on Web search and Data Mining : IFUP Workshop (WSDM 2018), ACM SIGWEB, Los Angeles, California, USA, Feb. 2018. (ERA B, Qualis B1)

  • Amit Agarwal, and Durga Toshniwal. "Application of Lexicon Based Approach in Sentiment Analysis for short Tweets." in 5th IEEE International Conference on Advances in Computing and Comunication Engineering (IEEE ICACCE 2018), pp. 189-193, 2018. Paris, Europe.

  • Ritu Singh and Durga Toshniwal, "Location Prediction Using Sentiments of Twitter Users" in 20th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2018). Regensburg, Germany September 3 - 6, 2018.

  • Apeksha Aggarwal, and Durga Toshniwal, "Predicting Particulate Matter for Assessing Air Quality in Delhi Using Meteorological Features" in 18th International Conference on Computational Science and Its Applications (ICCSA 2018), pp. 623-638, Melbourne, Australia, July 2018.

  • Jatin Bedi, and Durga Toshniwal, "Parallel Framework for Unsupervised Classification of Seismic Facies" in 14th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM 2018), New York, USA, pp. 452-467, July 2018.

  • Aarzoo Dhiman and Durga Toshniwal, "Do Public and Government Think Similar about Indian Cleanliness Campaign?" in 5th International Conference on Information Management and Big Data (SIMBig 2018), Sept 2018, Lima, Peru.

  • Brijraj S and Durga Toshniwal, "Multiple Overlapping Window Method for Learning Patterns for Big Data" in Workshop on New Deep Learning Techniques, Institute of Pure and Applied Mathematics, University of California Los Angeles, USA, Feb 2018

  • Rachna Rani and Durga Toshniwal, "Temporal Approach to Opinion Fraud Detection" in 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining : 7th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications. (BigMine2018 at SIGKDD 2018), London, UK, Aug 2018.

  • Udit Sharma, Durga Toshniwal and Manoj Misra, "Techniques for Sensitive Pattern Hiding based on Spark Parallel Computing Framework" in 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Workshop on Abuse Preventive Data Mining (APDM), Melbourne, Australia, August, 2017.

  • Prashant Rajput, Durga Toshniwal, and Apeksha Aggarwal, "Improving Infrastructure for Transportation Systems Using Clustering" in 5th International Conference on Big Data Analytics (BDA 2017), pp. 129-143, Dec 2017, IIIT Hyderabad, India.

  • Alka Yadav and Durga Toshniwal, "Extracting Patterns and Variations in Air Quality of Four Tier I Cities in India" in 13th IEEE World Congress on Services (IEEE SERVICES 2017), pp. 17-20. IEEE, Honolulu, HI, USA, 2017.

  • Ananjay Kumar Singh, Durga Toshniwal, "A Big Data Approach for Situation-Aware estimation, correction and prediction of aerosol effects, based on MODIS Joint Atmosphere product (collection 6) time series data" in American Geophysical Union Fall Meeting (AGU 2017), New Orleans, USA, 11-15 December, 2017.

  • Apeksha Aggarwal, and Durga Toshniwal, "Data Mining Techniques for Smart Mobility - A Survey" in 5th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2017), NIT Goa, June 2017.

  • B. Pallavi Reddy, and Durga Toshniwal, "Identifying the Local Business Trends in Cities Using Data Mining Techniques" in 2nd International Conference on Computational Intelligence and Informatics (ICCII 2017), Advances in Intelligent Systems and Computing, AISC Springer Proceedings, Volume 712, Hyderabad, pp. 59-67, 2018.

  • Shivani Sharma and Durga Toshniwal, "Sensitive Pattern Hiding Using MapReduce" in Global Conference on Cyberspace (GCCS 2017), New Delhi, India, Nov 2017.

  • Chandresh Kumar Maurya, Durga Toshniwal and Vishal Agarwal, "Anomaly Detection via Distributed Sparse Class-Imbalance Learning" in 33rd International Conference on Machine Learning, (ICML 2016), NY, USA, 2016.

  • Sumit Singh, Durga Toshniwal, Akhil Gupta and Shreyas Verma, "GenIt-e-MoTo: Generation of intelligence to envisage modus operandi of terror outfits" in 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016). pp. 1-6, Okayama, Japan, 2016.

  • Tuhin Sharma, and Durga Toshniwal, "A Generalized Framework for Quantifying Trust of Social Media Text Documents" in 12th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM 2016), Springer International Publishing, pp. 692-713, New York, USA, 2016.

  • Arun Chauhan, Durga Toshniwal and Ravi Tejwani, "Predicting future place of visit using user's personality profile" in IEEE International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT 2016), pp. 427-432, New Delhi, 2016.

  • Shivani Sharma and Durga Toshniwal, "Privacy Preservation of Sensitive Itemsets Using Parallelized Heuristics Based Approach" in 4th International Conference on Business Analytics and Intelligence (ICBAI 2016), IISC Bangalore, 2016.

  • Shivani Sharma and Durga Toshniwal, "Privacy Preserving Association Rule Mining for Cloud Environment Using MapReduce" in 5th IEEE International Conference on Cloud Computing in Emerging Markets (CCEM 2016), Bangalore, October 2016.

  • Purva Pruthi, Anu Yadav, Farheen Abbasi, and Durga Toshniwal, "How Has Twitter Changed the Event Discussion Scenario? A Spatio-temporal Diffusion Analysis" in IEEE International Congress on Big Data (IEEE BigData Congress 2015), pp. 733-736, New York, USA, June 2015.

  • Durga Toshniwal, Bharat Goel, and Hina Sharma, "Multistage Classification for Cardiovascular Disease Risk Prediction" in 4th International Conference on Big Data Analytics (BDA 2015), Springer, pp. 258-266, Hyderabad, India, 2015.

  • Shivani Sharma and Durga Toshniwal, "Parallelization of association rule mining: A survey" in International Conference on Computing, Communication and Security (ICCCS 2015), pp. 1-6, Mauritius, December 2015.

  • Jainab Bano and Durga Toshniwal, "Context Aware Exemplar-Based Image Inpainting using Adaptive Image Division" in 19th International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV 2015), World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp 2015), pp. 375-381, Las Vegas, USA, 2015.

  • Chandresh Kumar Maurya and Durga Toshniwal, "Online Anomaly Detection via Class-Imbalance Learning" in 8th International Conference on Contemporary Computing (IC3 2015), JIIT Noida, Sep 2015.

  • Sachin Kumar and Durga Toshniwal, "Analysing road accident data using association rule mining" in IEEE International Conference on Computing, Communication and Security (ICCCS 2015), pp. 1-6, Mauritius, December 2015.

  • Sorab Bisht, Durga Toshniwal, "EventStory: Event Detection Using Twitter Stream Based on Locality" in 15th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2014), pp. 394-403, Salamanca, Spain, 2014.

  • Arpit Baheti and Durga Toshniwal, "Trend analysis of time series data using data mining techniques" in IEEE International Congress on Big Data (IEEE BigData Congress 2014), pp. 430-437, Alaska, USA, 2014.

  • Chandresh Kumar Maurya and Durga Toshniwal, "Anomaly detection in nuclear power plant data using support vector data description" in IEEE Students' Technology Symposium (IEEE TechSym, 2014), pp. 82-86, IIT Kharagpur, India 2014.

  • Yogita Thakran, Durga Toshniwal, "Bhavani Kumar Eshwar, Entropy Based Adaptive Outlier Detection Technique for Data Streams" in 10th International Conference on Data Mining (DMIN 2014), World Congress in Computer Science, Computer Engineering and Applied Computing (WORLDCOMP 2014), pp. 125-131, Las Vegas Nevada USA, July 2014.

  • Tuhin Sharma, and Durga Toshniwal, "A generalized relationship mining method for social media text data" in 10th International Conference on Machine Learning and Data Mining (MLDM 2014), Springer, pp.376-392, St. Petersburg, Russia, 2014.

  • Yogita Thakran and Durga Toshniwal, "A novel rough set based clustering approach for streaming data" in 2nd International Conference on Soft Computing for Problem Solving (SocProS 2014), pp. 1253-1265, December 28-30, 2012, New Delhi, 2014.

  • Yogita Thakran,Durga Toshniwal, "Pramod Kumar Gupta, Vikas Khurana, and Pushp Upadhyay. Detection of motifs in anomalies from nuclear power plant data using data mining techniques" in 3rd National Symposium on Advances in Control and Instrumentation (NSAI 2014), DAE Mumbai, India, 2014.