[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/igg/jkss00/v10y2019i2p1-12.html
   My bibliography  Save this article

Petri Net Recommender System for Generating of Perfect Binary Tree

Author

Listed:
  • Gajendra Pratap Singh

    (School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India)

  • Sujit Kumar Singh

    (School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India)

Abstract
In modeling a discrete event driven system, Petri net recommender systems can play a very important role in describing the structural and behavioral properties of complex and tricky networks. The finite and infinite perfect binary tree forms a predictive model which can map the input information to output information based on the inputs' attributes. A perfect binary tree can be used for three types of recommender systems such as: collaborative filtering, a content-based approach, and a hybrid approach. In this article, the authors show the existence of a Petri net whose reachability tree is a Perfect Infinite Binary Tree (PIBT).

Suggested Citation

  • Gajendra Pratap Singh & Sujit Kumar Singh, 2019. "Petri Net Recommender System for Generating of Perfect Binary Tree," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 10(2), pages 1-12, April.
    • Handle: RePEc:igg:jkss00:v:10:y:2019:i:2:p:1-12
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKSS.2019040101
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gajendra Pratap Singh & Madhuri Jha & Mamtesh Singh & Naina, 2020. "Modeling the mechanism pathways of first line drug in Tuberculosis using Petri nets," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 313-324, July.
    2. Riddhi Jangid & Gajendra Pratap Singh, 2023. "Construction of m-cube mesh networks using Petri nets," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 256-262, March.
    3. Sujit Kumar Singh & Riddhi Jangid & Gajendra Pratap Singh, 2023. "On characterizing binary Petri Nets," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 919-929, June.
    4. Madhuri Jha & Mamtesh Singh & Gajendra Pratap Singh, 2022. "Modeling of second-line drug behavior in the treatment of tuberculosis using Petri net," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 810-819, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jkss00:v:10:y:2019:i:2:p:1-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.