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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
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Bhavishya Rathore
, Dr Neelesh Jain , Prof Jaya Malviya
Unique Id:
IJSDR2212076
Published In:
Volume 7 Issue 12, January-2023
Abstract:
The growth of massive data stores has led to the development of a number of automated processors that work to discover relationships in and between the data in those stores. These processors are often referred to by a number of names including data mining, knowledge discovery, pattern recognition, artificial and machine learning. Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. It is used to automatically extract structured knowledge from large datasets.The application of logic with data mining makes information understandable to human. Data mining can have many methods like association rules, classification, clustering. One of the methods of implementing association rules is Apriori algorithm. In this thesis, A Apriori System is built; it uses Apriori algorithm alone, then Apriori algorithm with the application of logic to find association rules. It will find the relationships among items stored in a supermarket to present knowledge about what are the most soled items and the relations among items. From the experimental results, it was found that functions filters the results and make number of extracted rules less than the number of rules extracted by applying Apriori algorithm only.
Keywords:
Biometrics, LBP, OpenCV, Python, Surveillance
Cite Article:
"Data Mining using face detection with Logic", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 12, page no.489 - 495, January-2023, Available :http://www.ijsdr.org/papers/IJSDR2212076.pdf
Downloads:
000201554
Publication Details:
Published Paper ID: IJSDR2212076
Registration ID:203064
Published In: Volume 7 Issue 12, January-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.32599
Page No: 489 - 495
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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