Novel Technique for Mining a High Utility Item Sets from Transactional Database
Data mining, the pulling out of unseen predictive information from huge databases, is a powerful innovative
technology with large potential to facilitate companies focus on the most important information in their data warehouses.
Data mining tools guess future trends moreover behaviors, granting businesses to create proactive, knowledge-driven
decisions.The term utility means the value or profit of an item in a transaction. The major purpose of high utility items at
mining is to discover the item set having utility values above the given threshold. Although a number of Algorithm’s have
been proposed but there is dilemma like it produce large number of candidate Itemsets for High Utility Itemsets. Large
number of Itemsets degrades the performance of mining in terms of implementation time and space requirement. This
situation may not as good as when database contains huge number of transaction. This paper presents a high utility item set
mining method. In this technique, the futile patterns are detached at the initial stage of mining. So it will be helping for
getting less time consumption for finding high utility of itemsets in the transactional database.
Index Terms— Data mining, High Utility Item sets Mining, Transactional Utility, and Weighted Transactional Utility.