Utility-based data mining is a new research area interested in all types of utility factors in data mining processes and targeted at incorporating utility considerations in both predictive and descriptive data mining tasks. High utility itemset mining is a research area of utilitybased descriptive data mining, aimed at finding itemsets that contribute most to the total utility. A specialized fo...

High-utility itemset mining is the task of finding the sets of items that yield a high utility (e.g. profit) in quantitative transaction databases. An important limitation of previous work on high-utility itemset mining is that utility is generally used as the sole criterion for assessing the interestingness of patterns. This leads to finding many itemsets that have a high profit but contain it...

Classical frequent itemset mining identifies frequent itemsets in transaction databases using only frequency of item occurrences, without considering utility of items. In many real world situations, utility of itemsets are based upon user’s perspective such as cost, profit or revenue and are of significant importance. Utility mining considers using utility factors in data mining tasks. Utility-...

-Data Mining can be delineated as an action that analyze the data and draws out some new nontrivial information from the large amount of databases. Traditional data mining methods have focused on finding the statistical correlations between the items that are frequently appearing in the database. High utility itemset mining is an area of research where utility based mining is a descriptive type...

High utility itemsets mining is relevant for business vendors. So that they can give more offers to high utility itemsets. To understand the above sentence we need to know what is high utility itemsets. High utility itemsets are those ones that yield high profit when sold together or alone that meets a user-specified minimum utility threshold from a transactional database. This high utility ite...

Mining of High utility itemsets refers to discovering sets of data items that have high utilities. In recent years the high utility itemsets mining has extensive attentions due to the wide applications in various domains like biomedicine and commerce. Extraction of high utility itemsets from database is very problematic task. The formulated high utility itemset degrades the efficiency of the mi...