Implementation of Data Mining Technique for Determining K-Most Demanding Products

Authors(6) :-Advait Pundlik, Vaibhav Hood, Pawan Satpute, Utkarsh Mandade, Ankita Tripathi, Prof. Kapil Hande

This paper formulates an issue for production design as k-most demanding products (k-MDP). Given an arrangement of clients demanding a specific kind of products with numerous traits, an arrangement of existing products of the sort, an arrangement of applicant products that organization can offer, and a positive whole number k, it causes the organization to choose k products from the hopeful products to such an extent that the normal number of the aggregate clients for the k products is augmented. One avaricious algorithm is utilized to discover surmised answer for the issue. Endeavour is likewise made to locate the ideal arrangement of the issue by evaluating the normal number for the aggregate clients of an arrangement of k competitor products for diminishing the pursuit space of the ideal arrangement.

Authors and Affiliations

Advait Pundlik
BE Students, Department of Computer science and Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
Vaibhav Hood
BE Students, Department of Computer science and Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
Pawan Satpute
BE Students, Department of Computer science and Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
Utkarsh Mandade
BE Students, Department of Computer science and Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
Ankita Tripathi
BE Students, Department of Computer science and Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India
Prof. Kapil Hande
Assistant Professor, Department of Computer science and Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India

Algorithm for Knowledge Management, Data Mining, Decision Support, Performance Evaluation of Algorithm

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 76-81
Manuscript Number : CSEIT1833128
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Advait Pundlik, Vaibhav Hood, Pawan Satpute, Utkarsh Mandade, Ankita Tripathi, Prof. Kapil Hande, "Implementation of Data Mining Technique for Determining K-Most Demanding Products", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.76-81, March-April.2018
URL : http://ijsrcseit.com/CSEIT1833128

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