HUOPM: High-Utility Occupancy Pattern Mining
نویسندگان
چکیده
منابع مشابه
High-Utility Sequential Pattern Mining with Multiple Minimum Utility Thresholds
High-utility sequential pattern mining is an emerging topic in recent decades and most algorithms were designed to identify the complete set of high-utility sequential patterns under the single minimum utility threshold. In this paper, we first propose a novel framework called high-utility sequential pattern mining with multiple minimum utility thresholds to mine high utility sequential pattern...
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Most studies have considered the frequency as sole interestingness measure for identifying high quality patterns. However, each object is different in nature, in terms of criteria such as the utility, risk, or interest. Besides, another limitation of frequent patterns is that they generally have a low occupancy, and may not be truly representative. Thus, this paper extends the occupancy measure...
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High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold. The basic HUIM problem does not consider length of itemsets in its utility measurement and utility values tend to become higher for itemsets containing more items...
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Mining high utility sequential patterns (HUSPs) has emerged as an important topic in data mining. However, the existing studies on this topic focus on static data and do not consider streaming data. Streaming data are fast changing, continuously generated and unbounded in amount. Such data can easily exhaust computer resources (e.g., memory) unless proper resource-aware mining is performed. In ...
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Data Mining can be defined as an activity that extracts some new nontrivial information contained in large databases. Traditional data mining techniques have focused largely on detecting the statistical correlations between the items that are more frequent in the transaction databases. Also termed as frequent itemset mining , these techniques were based on the rationale that itemsets which appe...
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ژورنال
عنوان ژورنال: IEEE Transactions on Cybernetics
سال: 2020
ISSN: 2168-2267,2168-2275
DOI: 10.1109/tcyb.2019.2896267