Data Mining using face detection with Logic

Bhavishya Rathore , Dr Neelesh Jain , Prof Jaya Malviya

Biometrics, LBP, OpenCV, Python, Surveillance

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.

Published Paper   E-Certificate

"Data Mining using face detection with Logic", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 12, page no.489 - 495, January-2023, Available :https://ijsdr.org/papers/IJSDR2212076.pdf

Volume 7 Issue 12, January-2023

Pages : 489 - 495

Paper Reg. ID: IJSDR_203064

Published Paper Id: IJSDR2212076

Downloads: 000347245

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2212076

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2212076

DOI: http://doi.one/10.1729/Journal.32599

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

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