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Chairman's Message

Education is said to be the transmission of knowledge, culture and civilization.
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Principal's Message

It gives me immense pleasure to greet and welcome you all on behalf of the entire ADIT family.
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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
[email protected]; [email protected]
WhatsApp No: 9925042680

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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

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