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Shalini Zanzote Ninoria

Shalini Zanzote Ninoria
Ahmedabad Institute of Technology · BE (CE&IT)

Doctor of Philosophy

About

9
Publications
1,890
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19
Citations
Citations since 2017
9 Research Items
19 Citations
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2017201820192020202120222023024681012
2017201820192020202120222023024681012

Publications

Publications (9)
Article
Full-text available
Technology is playing an important role is healthcare particularly as it relates to disease prevention and detection. This is evident in the COVID-19 era as different technologies were deployed to test, detect and track patients and ensure COVID-19 protocol compliance. The White Spot Disease (WSD) is a very contagious disease caused by virus. It is...
Article
Full-text available
In present era, as there are many applications of uncertain data hence more emphasis has paying focus on mining itemsets over uncertain databases. Data mining is a technique which is useful in the extraction of interesting relationships between data in huge databases. Association rule mining is one of the most vital techniques of data mining in whi...
Article
Full-text available
These Data mining is the procedure of analyzing unseen patterns of data according to different point of view for classification into useful information, which is collected and gathered in common areas, such as data warehouses, for proficient investigation, data mining algorithms, assisting business decision making and other information requirements...
Article
Full-text available
In modern era, due to the broad applications of uncertain data, mining itemsets over uncertain databases has paying much more attention. Association Rule Mining (ARM) is a well known and most popular technique of Data Mining. It identifies itemsets from the dataset which appears frequently and generates association rules. This is the procedure whic...
Article
Full-text available
Data Mining can be defined as a process that extracts nontrivial information contained in huge databases. Association rule mining is one of the important techniques of data mining in which relationships among the items present in the transactions are discovered. Traditional data mining techniques have focused largely on detecting the correlation be...

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