期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：14057
DOI：10.15680/IJIRSET.2017.0607187
出版社：S&S Publications
摘要：Frequent Item sets discovery of sets of items that are frequently purchased together by customer. HighUtility Item sets (HUIs) refers to discovery of an item set with high utility such as streaming analysis, market analysis,mobile computing and biomedicine. HUIs consider with particular attribute of the item set. HUIs mining is defined asqualitative representation of user preferences. The primary goal of mining is to discover hidden patterns andunexpected trends in data set with HUI and the secondary goal is to discover Top-k results. Point of Interest (POI) is toprovide personalized recommendation of particular aspects such as restaurants, movie theaters. Recommendation isdepends upon user’s previous interest or previous search options.HUIs mining identifies item sets where its attribute satisfies threshold. According to the threshold, itemscategorized as High Utility Item sets and Low Utility item sets. Resulting candidate item sets further undergoes pruningtechniques so as to reduce no. of candidate item set considering. Efficient framework can be designed for mining Top-kHUIs set where k is no. of HUIs to be mined and defining the recommendation and POI.HUI mining is used to find Top-k results to enhance decision making process. HUIs mining is useful forbuilding powerful search engines to display Top-k results. IT has many application like market analysis, streamanalysis and biometric.
关键词：Utility mining; high utility item sets; high utility item set mining; top-k; pattern mining; parallel;mining; top-k high utility item set mining; Data mining ;frequent item set; transactional database.
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