Data Analytics plays an important role in the decision making process. Insights from such
pattern analysis offer vast benefits, including increased revenue, cost cutting, and improved …

Like the other financial markets, insurance markets need to increase their profit margins if
they want to continue their activities. In this article, we examine the factors that can affect the …

Information mining strategies are utilized broadly in commercial areas for separating data
from the database. Information mining comprises of applying Utility Pattern Mining indicates …

Frequent itemsets are itemsets that occur frequently in a dataset. Frequent itemset mining
extracts specific itemsets with supports higher than or equal to a minimum support threshold …

This study addresses large-scale personnel scheduling problems in the service industry by
combining mathematical programming with data mining techniques to enhance efficiency …

Parallel processing has turn to be a common programming practice because of its efficiency
and thus becomes an interesting field for researchers. With the introduction of multi-core …

Now a days, designing differentially private data mining algorithm shows more interest
because item mining is most facing problem in data mining. During this study the possibility …

In Data mining the concept of association rule mining (ARM) is used to identify the frequent
itemsets from large datasets. It defines frequent pattern mining from larger datasets using …

High utility itemsets (HUIs) are items in the dynamically streaming transaction list that
generate a high‐profit margin. Many of the real‐time applications depend on finding HUIs …

Coronavirus disease also known as COVID-19 is an infectious disease which is caused by
the SARS-CoV-2 virus. People who get infected by the virus will experience respiratory …