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 ||

Journals

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

  • Aarzoo Dhiman and Durga Toshniwal, "An Approximate Model for Event Detection From Twitter Data", IEEE Access, Vol. 8, 2020, pp. 122168-122184 (Impact factor = 4.098). 

  • Apeksha Aggarwal and Durga Toshniwal, "Frequent Pattern Mining on Time and Location Aware Air Quality Data", IEEE Access, Vol. 7, 2019, pp. 98921-98933 (Impact factor = 4.05).

  • Samarth Godara and Durga Toshniwal, "Sequential pattern mining combined multi-criteria decision-making for farmers queries characterization", Computers and Electronics in Agriculture, Elsevier, 2020 (Impact Factor = 3.171)

  • Amit Agarwal, Durga Toshniwal , "Identifying Leadership Characteristics from Social Media Data during Natural Hazards using Personality Traits", Scientific Reports - Nature, 10, 2624 Feb, 2020 (Impact Factor = 4.011)

  • Udit Sharma, Durga Toshniwal and Shivani Sharma, "A Sanitization Approach for Big Data with Improved Data Utility", Applied Intelligence, Springer, Feb. 2020 (Impact Factor = 2.882)

  • Brijraj Singh, Durga Toshniwal, Sharan Kumar Allur, "Shunt connection: An intelligent skipping of contiguous blocks for optimizing MobileNet-V2", Neural Networks, Elsevier, 2019(Impact Factor: 5.785)

  • Amit Agarwal and Durga Toshniwal, "Face off: Travel habits, Road conditions and Traffic city characteristics bared using Twitter." IEEE Access. 2019 (Impact Factor 3.557)

  • Amit Agarwal and Durga Toshniwal, "SmPFT: Social media based profile fusion technique for data enrichment." Computer Networks, Elsevier, pp 123-131, 2019 (Impact Factor 2.6)

  • Jatin Bedi, and Durga Toshniwal, "Features denoising-based learning for porosity classification" Neural Computing and Applications Journal, Springer , pp 1-14, 2019. (Impact Factor 4.231)

  • Apeksha Aggarwal and Durga Toshniwal, "Detection of Anomalous NO2 Concentration in Urban Air of India Using Proximity and Clustering Methods", Journal of the Air & Waste Management Association, Taylor and Francis, Vol. 69, Issue 2, Feb 2019.

  • Jatin Bedi, and Durga Toshniwal, "Deep learning framework to forecast electricity demand", Applied Energy, Elsevier Vol. 238, pp. 1312-1326, 2019. (Impact Factor 7.90)

  • Brijraj Singh, and Durga Toshniwal, "MOWM: Multiple Overlapping Window Method for RBF based missing value prediction on big data", Expert Systems with Applications, Vol. 122, pp. 303-318, Jan. 2019. (Impact Factor 3.768)

  • Shivani Sharma and Durga Toshniwal, "MR-I MaxMin- Scalable Two-Phase Border Based Knowledge Hiding Technique Using MapReduce", Journal of Future Generation Computer Systems, Elsevier, 2018. (Impact Factor 4.639)

  • Jatin Bedi, and Durga Toshniwal, "Empirical mode decomposition based deep learning for electricity demand forecasting.", IEEE Access, Vol. 6, Sept. 2018, pp. 49144-49156. (Impact Factor 3.557)

  • Shivani Sharma and Durga Toshniwal, "Scalable Two-Phase Co-occurring Sensitive Pattern Hiding using MapReduce", Journal of Big Data, Springer, Volume 4, Issue 1, pp. 1-18, 2017. (Impact Factor 1.143)

  • Arun Chauhan, Krishna Kummamuru and Durga Toshniwal , "Prediction of places of visit using tweets", Knowledge and Information Systems (KAIS), Springer, Volume 50, Issue 1, pp: 145-166, 2017

  • Chandresh Kumar Maurya, Durga Toshniwal and Gopalan Vijendran Venkoparao, "Distributed Sparse Class-Imbalance Learning and its Applications", IEEE Transactions on Big Data, Volume 1, Issue 1, pp: 99, 2017.

  • Sachin Kumar and Durga Toshniwal, "Analysis of Powered Two Wheeler Road Accidents in Uttarakhand, India", European Transport Research Review, Springer, Volume 9, Issue 24, pp. 1-10, 2017.

  • Sachin Kumar, Durga Toshniwal and M Parida, "A comparative analysis of heterogeneity in road accident data using data mining techniques", Evolving Systems, Springer, Volume 8, Issue 2, pp. 147-155 , 2017.

  • Amit Agarwal, Ritu Singh and Durga Toshniwal, "Geospatial sentiment analysis using twitter data for UK-EU referendum", Journal of Information and Optimization Sciences, Taylor & Francis, Volume 39, pp: 1-15, 2017.

  • Arun Chauhan, Ravi Tejwani and Durga Toshniwal, "Twitter Can Predict Your Next Place of Visit", International Journal of Distributed Sensor Networks, Hindawi Publishing Corporation, Volume 12, Issue 2, pp: 1-10, 2016.

  • Chandresh Kumar Maurya, Durga Toshniwal and Gopalan Vijendran Venkoparao, "Online sparse class imbalance learning on big data", Neuro computing Journal, Elsevier, Volume 216, pp: 250-260, 2016.

  • Sachin Kumar and Durga Toshniwal, "A novel framework to analyze road accident time series data", Journal of Big Data, Springer, Volume 3, Issue 8, pp. 1-11, 2016.

  • Sachin Kumar and Durga Toshniwal, "A data mining approach to characterize road accident locations", Journal of Modern Transportation (JMT), Springer, Volume 24, Issue 1, pp. 62-72, 2016.

  • Sachin Kumar and Durga Toshniwal, "Analysis of hourly road accident counts using Hierarchical Clustering and Cophenetic Correlation Coefficient", Journal of Big Data, Springer, Volume 3, Issue 13, pp. 1-11, 2016.