AN ITEM ELIMINATION BASED TECHNIQUE FOR MINING HIGH UTILITY ITEMS FROM A DATA SET
Gitanjali Soni
, Prof. Balwant Prajapat
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.
"AN ITEM ELIMINATION BASED TECHNIQUE FOR MINING HIGH UTILITY ITEMS FROM A DATA SET", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 6, page no.336 - 339, June-2017, Available :https://ijsdr.org/papers/IJSDR1706050.pdf
Volume 2
Issue 6,
June-2017
Pages : 336 - 339
Paper Reg. ID: IJSDR_170514
Published Paper Id: IJSDR1706050
Downloads: 000347171
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
