Home Courses Placement Contact
About Department
  Vision, Mission & Objectives
  Faculty
  Support Staff
  Laboratory
  Research
  Placements
  Achievements
  Projects
  PG Syllabus
Student Portals

Check out different online courses offered by ADIT

Check out the latest video lectures by experts of different domains.



Chairman's Message

Education is said to be the transmission of knowledge, culture and civilization.
Read More...

Principal's Message

It gives me immense pleasure to greet and welcome you all on behalf of the entire ADIT family.
Read More...


Dr. D J Prajapati
Coordinator - Artificial Intelligence and Data Science
Associate Professor
Qualification
PhD (Computer Science & Engineering, Nirma University)
Experience
Academics:17.4 Years

Industry: 0 Year
Contact
it.djprajapati@adit.ac.in; dineshkumar.prajapati@cvmu.edu.in
WhatsApp No: 9925042680

Download CV
Events & Activities
  • SAS Data Science and SAS Big Data Management

  • ISTE Student Chapter ADIT : Workshop on "Building websites using WordPress"

Publications
  • Prajapati, D. J., Garg, S., & Chauhan, N. C. (2017). MapReduce Based Multilevel Consistent and Inconsistent Association Rule Detection from Big Data Using Interestingness Measures. Big Data Research, 9, 18-27.

  • Prajapati, D. J., Garg, S., & Chauhan, N. C. (2017). Interesting association rule mining with consistent and inconsistent rule detection from big sales data in distributed environment. Future Computing and Informatics Journal, 2(1), 19-30.

  • Prajapati, D. J.(2017). Comparative Study of Distributed Frequent Pattern Mining Algorithms For Big Sales Data. International Journal of Advanced Research In Engineering And Technology (IJARET) , 8, 1.

  • Prajapati, D. J., & Garg, S. (2016, November). MapReduce based multilevel association rule mining from concept hierarchical sales data. In International Conference on Advances in Computing and Data Sciences (pp. 624-636). Springer, Singapore.

  • Prajapati, D. J.(2016). Preprocessing of Big Sales Data In Distributed Environment For Association Rule Mining. International Journal of Advanced Computer Science & Technology , 6, 1.

  • Prajapati, J. H., Prajapati D. J.(2016). Classification of Breast cancer level using Artificial Neural Network. International Conference on Women in Science and Technology: Creating Sustainable Career (ICWSTCSC:2016).

  • Prajapati, D. J., & Prajapati, J. H. (2015). Mining Multilevel Association Rule at Different Concept Hierarchy. Data Mining and Knowledge Engineering, 7(10), 324-328.

  • Prajapati, D. J., & Prajapati, J. H. (2014). Soft Computing Approaches in Data Mining ? A Survey. IFRSA?s International Journal of Computing, 4(2).

  • Prajapati, J., Bhatt, M., & Prajapati, D. J. (2012). Detection and summarization of genuine review using visual data mining. Int. J. Comput. Appl, 0975-8887.

  • Prajapati, D. J., & Prajapati, J. H. (2011). Handling Missing Information for Approximate Association Rule Mining. Data Mining and Knowledge Engineering, 3(13), 803-808.

  • Prajapati, D. J., & Prajapati, J. H. (2011). Handling Missing Values: Application to University Data Set. International Journal of emerging trends in engineering and development, 1.

  • Prajapati, D. J.(2010). Association Rule Mining from Missing Information. Journal of Software Engineering and Technology , 2(1).

  • Panchal, M. H., & Prajapati, D. J. A Comparative Analysis of Sorting Algorithms in Two Opposite Extreme Cases.

  • Multilevel Interesting Association Rule Mining using Soft Computing Techniques, Journal of Applied Information Science, ISSN: 2321-6115, Vol. 6, Issue 2, Dec 2018.

  • Software Performance Engineering: A Software Oriented Approach, Journal of Software Engineering Tools & Technology Trends, ISSN: 2394-7292 Vol. 6, Issue 1, pp. 18?28, 2018

  • Top-down and Bottom-up Approach for Mining Multilevel Association Rules from Concept Hierarchical Data in Distributed Environment, ICTACT Journal on Soft Computing, UGC Care, Vol. 12, Issue 04, pp. 2697-2706, July 2022, DOI: 10.21917/ijsc.2022.0375.

  • Web Auto Configuration for n Tier in VM based Dynamic Environment by Reinforcement Learning Approach: A Study, Computer Science & Engineering: An International Journal (CSEIJ), Vol 12, No 1, pp. 25-34, Feb 2022, DOI: 10.5121/cseij.2022.12104.

  • Multilevel Interesting Association Rule Mining using Soft Computing Techniques, Journal of Applied Information Science, ISSN: 2321-6115, Vol. 7, Issue 1, 2019.

  • Software Performance Engineering: A Software Oriented Approach, Journal of Software Engineering Tools & Technology Trends, ISSN: 2394-7292, Vol. 6, Issue 1, pp. 18?28, 2019.

Membership Details
  • ISTE - Life Time Member

  • IEEE - Life Time Member

Connect with us

Follow us on social media and be the first to find out about our announcements and Events!

Subscribe our Newsletter