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On efficiently mining high utility sequential patterns
Knowledge and Information Systems, 2016 High utility sequential pattern mining is an emerging topic in pattern mining, which refers to identify sequences with high utilities (e.g., profits) but probably with low frequencies. To identify high utility sequential patterns, due to lack of downward closure property in this problem, most existing algorithms first generate candidate sequences with ...
Jun-Zhe Wang +2 more
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On Incremental High Utility Sequential Pattern Mining
ACM Transactions on Intelligent Systems and Technology, 2018High utility sequential pattern (HUSP) mining is an emerging topic in pattern mining, and only a few algorithms have been proposed to address it. In practice, most sequence databases usually grow over time, and it is inefficient for existing algorithms to mine HUSPs from scratch when databases grow with a small portion of updates.
Jiun-Long Huang
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Applying the maximum utility measure in high utility sequential pattern mining
Expert Systems With Applications, 2014Abstract Recently, high utility sequential pattern mining has been an emerging popular issue due to the consideration of quantities, profits and time orders of items. The utilities of subsequences in sequences in the existing approach are difficult to be calculated due to the three kinds of utility calculations.
Tzung-Pei Hong +2 more
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An approach for high utility pattern mining
International Journal of Data Analysis Techniques and Strategies, 2018Mining high utility pattern has become prominent as it provides semantic significance (utility/weighted patterns) associated with items in a transaction. Data analysis and respective strategies for mining high utility patterns is important in real world scenarios.
Dutta Borah Malaya, Rajni Jindal
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High-utility pattern mining: A method for discovery of high-utility item sets
Pattern Recognition, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jianying Hu, Aleksandra Mojsilovic
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Synthesization of High-Utility Patterns in Parallel Computing
2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2019High utility pattern mining (HUPM) has become a key issue in knowledge discovery since it provides retailers and managers with useful information for making decisions efficiently. However, previous studies most focused on mining the high-utility patterns (HUPs) from a single database.
Jerry Chun-Wei Lin +5 more
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High-Utility Pattern Mining in Hadoop Environments
2020 IEEE International Conference on Big Data (Big Data), 2020In this article, we present an Efficient High Utility Pattern Mining framework to mine high-utility patterns with a reasonable pruning strategy to speed up the mining performance. Concurrently, for solving the problem of excessive data volume in the current era, we applied the developed framework to the MapReduce architecture used for improving the ...
Jimmy Ming-Tai Wu +3 more
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Mining Discriminative High Utility Patterns
2016Recently, many approaches for high utility pattern mining (HUPM) have been proposed, but most of them aim at mining high-utility patterns (HUPs) instead of frequent ones. The major drawback is that any combination of a low-utility item with a very high utility pattern is regarded as a HUP, even if this combination is infrequent and contains items that ...
Jerry Chun-Wei Lin +3 more
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Mining high utility patterns in incremental databases
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, 2009Frequent pattern mining techniques treat all items in the database equally by taking into consideration only the presence of an item within a transaction. However, the customer may purchase more than one of the same item, and the unit price may vary among items. High utility pattern mining approaches have been proposed to overcome this problem.
Chowdhury Farhan Ahmed +3 more
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