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
A Novel Efficient Approach for frequent data set mining of Uncertain Databases
Authors Name:
Sridevi Malipatil
, Dr. T Hanumantha Reddy
Unique Id:
IJSDR2108006
Published In:
Volume 6 Issue 8, August-2021
Abstract:
In sensor monitoring systems, location-based services, integration of data etc., the handling of data is basically imprecise. In this research paper, mining of recurrent item sets from uncertain database which is also indeterminate in nature is concentrated. The efficiency of frequent mining of datasets from uncertain database is accomplished by utilizing Adaboost algorithm. The algorithm is utilized to meet the challenges of exponential number of possible worlds with minimum threshold, the algorithm aims to detect the frequent item sets among uncertain database along with filling the missing values. The proposed algorithm will fill the missing values using Adaboost algorithm and also to find frequent item sets.
Keywords:
Uncertain database, Frequent data set
Cite Article:
"A Novel Efficient Approach for frequent data set mining of Uncertain Databases", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 8, page no.31 - 37, August-2021, Available :http://www.ijsdr.org/papers/IJSDR2108006.pdf
Downloads:
000337074
Publication Details:
Published Paper ID: IJSDR2108006
Registration ID:193576
Published In: Volume 6 Issue 8, August-2021
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.27957
Page No: 31 - 37
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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