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A survey of utility-oriented pattern mining
The main purpose of data mining and analytics is to find novel, potentially useful patterns
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …
Efficient algorithms for mining top-k high utility itemsets
High utility itemsets (HUIs) mining is an emerging topic in data mining, which refers to
discovering all itemsets having a utility meeting a user-specified minimum utility threshold …
discovering all itemsets having a utility meeting a user-specified minimum utility threshold …
Efficient mining of top-k high utility itemsets through genetic algorithms
Mining high utility itemsets is an emerging and very active research area in data mining. The
goal is to mine all itemsets with a utility value, in terms of importance to the user, no less than …
goal is to mine all itemsets with a utility value, in terms of importance to the user, no less than …
Minimum threshold determination method based on dataset characteristics in association rule mining
Association rule mining is a technique that is widely used in data mining. This technique is
used to identify interesting relationships between sets of items in a dataset and predict …
used to identify interesting relationships between sets of items in a dataset and predict …
Emerging topic detection in twitter stream based on high utility pattern mining
HJ Choi, CH Park - Expert systems with applications, 2019 - Elsevier
Among internet and smart device applications, Twitter has become a leading social media
platform, disseminating online events occurring in the world on a real-time basis. Many …
platform, disseminating online events occurring in the world on a real-time basis. Many …
High-utility itemset mining with effective pruning strategies
High-utility itemset mining is a popular data mining problem that considers utility factors,
such as quantity and unit profit of items besides frequency measure from the transactional …
such as quantity and unit profit of items besides frequency measure from the transactional …
Efficient high utility itemset mining using buffered utility-lists
Discovering high utility itemsets in transaction databases is a key task for studying the
behavior of customers. It consists of finding groups of items bought together that yield a high …
behavior of customers. It consists of finding groups of items bought together that yield a high …
A binary PSO approach to mine high-utility itemsets
High-utility itemset mining (HUIM) is a critical issue in recent years since it can be used to
reveal the profitable products by considering both the quantity and profit factors instead of …
reveal the profitable products by considering both the quantity and profit factors instead of …
High utility itemset mining with techniques for reducing overestimated utilities and pruning candidates
High utility itemset mining considers the importance of items such as profit and item
quantities in transactions. Recently, mining high utility itemsets has emerged as one of the …
quantities in transactions. Recently, mining high utility itemsets has emerged as one of the …
Mining high-utility itemsets in dynamic profit databases
Abstract High-Utility Itemset (HUI) mining is an important data-mining task which has gained
popularity in recent years due to its applications in numerous fields. HUI mining aims at …
popularity in recent years due to its applications in numerous fields. HUI mining aims at …