In present study, the variation in concentration of key air pollutants such as PM 2.5, PM 10,
NO 2, SO 2 and O 3 during the pre-lockdown and post-lockdown phase has been …

Abstract The High Average Utility Itemset Mining (HAUIM) technique, a variation of High
Utility Itemset Mining (HUIM), uses the average utility of the itemsets. Historically, most …

High average utility pattern mining is the concept proposed to complement drawbacks of
high utility pattern mining by considering lengths of patterns along with the utilities of the …

The power sector and environment cordially affect each other throughout the economic
growth journey of a develo** country. It is high time to take care of the power demand …

High utility pattern mining has been proposed to overcome the limitations of frequent pattern
mining which cannot reflect the unique profits of items. High utility pattern mining has been …

Traditional pattern mining is designed to handle binary database that assume all items in the
database have same importance, there is a limitation to recognize accurate information from …

This paper is aimed to develop an algorithm for extracting association rules, called Context-
Based Association Rule Mining algorithm (CARM), which can be regarded as an extension …

Several pattern mining methods have been proposed to process dynamic data streams
because the data generated in industrial fields is continually accumulated. Erasable pattern …

In industrial areas, most of databases are dynamic databases, and the volume of the
databases has grown with the passage of time. Especially, pattern mining for incremental …

Data mining is a method for extracting useful information that is necessary for a system from
a database. As the types of data processed by the system are diversified, the transformed …