Results 31 to 40 of about 17,083,974 (282)
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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Fast Single Pbase Algoritbm for Utility Mining in Big Data
Dianxin kexue, 2015 Most of the latest works on utility mining generates a huge number of candidates in dealing with big data,which suffers from the scalability issue.Some work does not generate candidates,but suffers from the efficiency issue due to lack of strong pruning ...
Junqiang Liu +3 more
doaj +2 more sources
Efficient Approach for Damped Window-Based High Utility Pattern Mining With List Structure
IEEE Access, 2020 Traditional pattern mining is designed to handle binary database that assume all items in the database have same importance, there is a limitation to recognize accurate information from real-world databases using traditional method. To solve this problem,
Hyoju Nam +5 more
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Memory-optimized distributed utility mining for big data
Journal of King Saud University: Computer and Information Sciences, 2022 In recent days, social media, online services, smartphones, and the Internet of Things (IoT) produces large quantities of data every second. The generated data is structured, unstructured, or semi-structured and available in various formats.
Sunil kumar, Krishna Kumar Mohbey
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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
openaire +3 more sources
Mining Association rules for Low-Frequency itemsets. [PDF]
PLoS ONE, 2018 High utility itemset mining has become an important and critical operation in the Data Mining field. High utility itemset mining generates more profitable itemsets and the association among these itemsets, to make business decisions and strategies ...
Jimmy Ming-Tai Wu +2 more
doaj +1 more source
, 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
EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds
IEEE Access, 2017 High-utility itemset mining (HUIM) has become a popular data mining task, as it can reveal patterns that have a high-utility, contrarily to frequent pattern mining, which focuses on discovering frequent patterns.
Jerry Chun-Wei Lin +3 more
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TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns
IEEE Access, 2018 High-utility itemset mining (HUIM) has been gaining popularity in the field of data mining. Frequent itemset mining used to be the main tool to reveal high-frequency patterns but failed to consider the concept of profit.
Jimmy Ming-Tai Wu +3 more
doaj +1 more source
Mining of high utility-probability sequential patterns from uncertain databases. [PDF]
PLoS ONE, 2017 High-utility sequential pattern mining (HUSPM) has become an important issue in the field of data mining. Several HUSPM algorithms have been designed to mine high-utility sequential patterns (HUPSPs).
Binbin Zhang +3 more
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