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A Survey of Correlated High Utility Pattern Mining
IEEE Access, 2021 Pattern mining is an unsupervised data mining approach aims to find interesting patterns that can be used to support decision-making. High Utility Pattern Mining (HUPM) aims to extract patterns having high utility or importance which has broad ...
Rashad S. Almoqbily +2 more
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An Algorithm for Mining High Utility Sequential Patterns with Time Interval
Cybernetics and Information Technologies, 2019 Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database.
Duong Tran Huy +4 more
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Ignoring Internal Utilities in High-Utility Itemset Mining
Symmetry, 2022 High-utility itemset mining discovers a set of items that are sold together and have utility values higher than a given minimum utility threshold. The utilities of these itemsets are calculated by considering their internal and external utility values, which correspond, respectively, to the quantity sold of each item in each transaction and profit ...
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Floorplanning for High Utilization of Heterogeneous FPGAs
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2011 Heterogeneous resources such as configurable logic blocks (CLBs), multiplier blocks (MULs) and ram blocks (RAMs) where millions of logic gates (a growing trend to implement larger and more complex functions) included have been added to field programmable gate arrays (FPGAs).
Nan Liu 0002 +2 more
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LUIM: New Low-Utility Itemset Mining Framework
IEEE Access, 2019 High-utility itemset mining (HUIM), which is the detection of high-utility itemsets (HUIs) in a transactional database, provides the decision maker with greater flexibility to exploit item utilities, such as quantity and profits, to extract remarkable ...
Naji Alhusaini +5 more
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A Data Provenance Sanitization Mechanism for High Utility [PDF]
Jisuanji gongcheng, 2018 To improve the low provenance utility provided by existed provenance sanitization mechanisms,a data provenance sanitization mechanism is proposed.PROV-DM model is extended to generalize the dependencies into uncertain dependencies.The rationality of ...
WANG Yixing,SUN Lianshan,SHI Libo
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Discovering High Utility Episodes in Sequences
IEEE Transactions on Artificial Intelligence, 2023 Sequence data, e.g., complex event sequence, is more commonly seen than other types of data (e.g., transaction data) in real-world applications. For the mining task from sequence data, several problems have been formulated, such as sequential pattern mining, episode mining, and sequential rule mining.
Wensheng Gan +3 more
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An Efficient Tree-Based Algorithm for Mining High Average-Utility Itemset
IEEE Access, 2019 High-utility itemset mining (HUIM), which is an extension of well-known frequent itemset mining (FIM), has become a key topic in recent years. HUIM aims to find a complete set of itemsets having high utilities in a given dataset.
Irfan Yildirim, Mete Celik
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MINING OF HIGH-UTILITY ITEMSETS WITH NEGATIVE UTILITY
JOURNAL OF TECHNOLOGY & INNOVATION, 2020 The goal of the high-utility itemset mining task is to discover combinations of items that yield high profits from transactional databases. HUIM is a useful tool for retail stores to analyze customer behaviors. However, in the real world, items are found with both positive and negative utility values.
Tung N.T +3 more
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, 2008 application/pdf; "February 14, 2008."; Testimony before the Kansas Legislature, Senate Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony regarding Senate Bill 555.
Springe, David.
core +3 more sources