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A New Algorithm for High Average-utility Itemset Mining [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 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.
A. Soltani, M. Soltani
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IEEE Access, 2021 Utility-pattern mining in data has received a lot of attention from the knowledge discovery in database (KDD) community due to its high potential for many applications such as finance, biomedicine, manufacturing, e-commerce, and social media.
Jerry Chun-Wei Lin +3 more
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Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists
Information, 2020 A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search.
Scott Buffett
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Proof Learning in PVS With Utility Pattern Mining
IEEE Access, 2020 Interactive theorem provers (ITPs) are software tools that allow human users to write and verify formal proofs. In recent years, an emerging research area in ITPs is proof mining, which consists of identifying interesting proof patterns that can be used ...
M. Saqib Nawaz +2 more
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IEEE Access, 2022 The field of data mining is progressing rapidly presenting researchers with many opportunities for research. Sequential pattern mining is a popular and long established technique in data mining which extracts data in the form of sequential patterns ...
Ritika, Sunil Kumar Gupta
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Mining High-Utility Patterns in Uncertain Tensors
Procedia Computer Science, 2018 Abstract Transactional datasets are 0/1 matrices, which generically stand for objects having Boolean properties. If every cell of the matrix is additionally associated with a real number called utility, a high-utility itemset relates to a all-ones sub-matrix with utilities that sum to a high-enough value.
Aurélien Coussat +2 more
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Incrementally Updating the Discovered High Average-Utility Patterns With the Pre-Large Concept
IEEE Access, 2020 High average-utility itemset mining (HAUIM) is an extension of high-utility itemset mining (HUIM), which provides a reliable measure to reveal utility patterns by considering the length of the mined pattern.
Jimmy Ming-Tai Wu +3 more
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Scalable Sampling for High Utility Patterns
2024 IEEE International Conference on Big Data (BigData)Discovering valuable insights from data through meaningful associations is a crucial task. However, it becomes challenging when trying to identify representative patterns in quantitative databases, especially with large datasets, as enumeration-based strategies struggle due to the vast search space involved.
Lamine Diop, Marc Plantevit
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An Efficient Chain Structure to Mine High-Utility Sequential Patterns
, 2019 High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns from the quantitative databases. Several works have been presented
Djenouri, Youcef +9 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.
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