INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
AN ITEM ELIMINATION BASED TECHNIQUE FOR MINING HIGH UTILITY ITEMS FROM A DATA SET
Authors Name:
Gitanjali Soni
, Prof. Balwant Prajapat
Unique Id:
IJSDR1706050
Published In:
Volume 2 Issue 6, June-2017
Abstract:
The data mining and their different applications are becomes more popular now in these days a number of large and small scale applications are developed with the help of data mining techniques i.e. predictors, regulators, weather forecasting systems and business intelligence. There are two kinds of model are available for namely supervised and unsupervised. The performance and accuracy of the supervised data mining techniques are higher as compared to unsupervised techniques therefore in sensitive applications the supervised techniques are used for prediction and classification. this paper presents a high utility item set mining technique. In this technique, the useless patterns are removed at the initial stage of mining. So it is helping in getting less time consumption.
Keywords:
Cite Article:
"AN ITEM ELIMINATION BASED TECHNIQUE FOR MINING HIGH UTILITY ITEMS FROM A DATA SET", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.336 - 339, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706050.pdf
Downloads:
000337067
Publication Details:
Published Paper ID: IJSDR1706050
Registration ID:170514
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 336 - 339
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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