Data Mining based on Hashing Technique

Shabnam Kumari; Reema; Krishan Rohilla

Title:
Data Mining based on Hashing Technique

Authors:
Krishan Rohilla | Shabnam Kumari | Reema
DOI:
https://doi.org/10.31142/ijtsrd82

Cite This Article :

Krishan Rohilla | Shabnam Kumari | Reema "Data Mining based on Hashing Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4, June 2017, URL: https://www.ijtsrd.com/papers/ijtsrd82.pdf

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Abstract :
Data Mining is an important aspect for any business. Most of the management level decisions are based on the process of Data Mining. One of such aspect is the association between different sale products i.e. what is the actual support of a product respected to the other product. This concept is called Association Mining. According to this concept we define the process of estimating the sale of one product respective to the other product. We are proposing an association rule based on the concept of Hardware support. In this concept we first maintain the database and compare it with systolic array after this a pruning process is being performed to filter the database and to remove the rarely used items. Finally the data is indexed according to hashing technique and the decision is performed in terms of support count.

Keywords :
Apriory, Clustering, Hashing, Data mining Techniques, Decision Trees.

Publication Details:

Unique Identification Number : IJTSRD82

Published In : Volume-1 | Issue-4, June 2017

Page Number(s) :

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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