• Dr. Priyanka Verma
  • Assistant Professor
  •  Windows Application, Database applications (Sql Server) ,Web Applications
                                                 Operating Systems, Programming Languages (Vb.Net, Java)
  • 12 years
  • priyanka.verma@icfia.org
Papers published in Journals

International

  1. Verma, P., & Kesswani, N. (2019). FEDUS: A comprehensive algorithm for web usage mining. Journal of Information and Optimization Sciences, 1-20.
  2. Verma, P., & Kesswani, N. (2017). User identification prerequisite for memorization a type of personalization. International Journal of Services Technology and Management, 23(4), 290-298.
  3. Verma, P. Biodiversity Data Discovery through Data Mining in Mountain areas (2015). Suresh Gyan VIhar University Journal of Engineering & Technology (An International Bi-Annual Journal). 1(2). Pp 49-53.
  4. Verma, P., & Kesswani, N. (2014). Web Usage mining framework for Data Cleaning and IP address Identification. arXiv preprint arXiv:1408.5460.
  5. Verma, P., & Kesswani, N. (2014). Personal Web Usage Mining: New mining approach to mine both local and remote activities. ERCICA 2014. II Elsevier Science and Technology.
  6. Verma, P., & Keswani, N. (2013). Web usage mining: identification of trends followed by the user through neural network. Int. J. Inf. Comput. Technology, 3, 617-624.
  7. Verma, P., & Keswani, N. (2013). SAAS Marketplaces: New Approach to reach Small and Medium Sized Businesses. International Journal of Information & Computation Technology. II. 3 568-.
  8. Gianchandani P. (2012). Scheming Desertification Lading to Climate Change through Image Mining. International Journal of Environmental Engineering and Managem

 

National

 

  1. Verma, P., & Kesswani, N. (2016, March). Comparative analysis of algorithms for identification of session on the basis of threshold value. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 3724-3730). IEEE.
  2. Verma P. (2014). Preprocessing of Web Usage data: An important step before pattern discovery and analysis to customize websites according to the user. 9th Biyani's International Conference (BICON-2014) on ''New Horizons of Information Technology by using Engineering and Mathematical Approaches''.
  3. Verma P. (2013). Web Usage mining: Customizing Websites according to user. 8th Biyani International Conference on Technoglobe Issues: Expansion Impacts and Challenges.
     

Book

  • Programming in VB.Net, RBSA Publishers, 2013


 


 

EDUCATION
  • Ph.D. in Computer Science, IIS (Deemed to be University)
  • MCA from Punjab technical University
  • B.Sc.(H) from Delhi University

 

 
AWARDS & ASSOCIATIONS
  • Best paper presenter award at Bicon 2013
  • Certificate of Appreciation 2012-2013
  • Certificate of Appreciation 2013-2014

 


Editorial Appointments/Reviewer
  • Reviewer, International Journal of Services Technology and Management published by Inderscience Publishers (www.inderscience.com).
  • Reviewer, Journal of Big Data-Springer

 


Invited as Resource Person/Speaker
  • Special session on: Big Data Applications, Challenges and Perspectives in IT and
    Management, IndiaCom 2016-IEEE Conference.

 


Professional Memberships
  • Member, International Association of Academicians (IAASSE).