News Updates Saturday 16th Feb 2019 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of Jan/Feb 2019 is 18 Feb 2019, Submit online or at
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Business Support System using Hybrid Classification Algorithm

Author : Kritika Walinjkar, Fiyansh Shah and Sonal Maskeen

Pages : 469-471
Download PDF

Cataloguing and patterns extraction from customer data is very important for business support and decision making. Timely recognition of newly emerging trends is needed in business process. Changing market trends need to be taken into consideration for predicting which products have more demand. This paper is about integrating two different algorithms, one is clustering algorithm, which is K-means and other is to find most frequent pattern i.e MFP which will help the back end of a company i.e production and inventory management unit to understand what product is selling more and which has a slow selling rate. In this way company can increase their profit by stocking the market with only those products that people buy.

Keywords: K-Means, Most Frequent Pattern (MFP), Data mining.

Article published in International Journal of Current Engineering and Technology, Vol.5, No.1 (Feb-2015)


Call for Papers
  1. IJCET- Jan/Feb 2019 Issue

    Submission Last Date
    18 Feb
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-March-2019
  5. IJAIE-March-2019
  6. IJCSB-March-2019
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved