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Pre-large based high utility pattern mining for transaction insertions in incremental database

Knowledge-Based Systems, 2023
Hyeonmo Kim   +7 more
semanticscholar   +3 more sources

High-Utility Pattern Mining

Studies in Big Data, 2019
S. Demir   +3 more
openaire   +2 more sources

Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases

IEEE Transactions on Knowledge and Data Engineering, 2009
Chowdhury Farhan Ahmed   +3 more
semanticscholar   +3 more sources

Efficient approach of sliding window-based high average-utility pattern mining with list structures

Knowledge-Based Systems, 2022
Chanhee Lee   +6 more
semanticscholar   +3 more sources

High utility pattern mining based on historical data table over data streams

International Conference on Data Science and Information Technology, 2021
Efficient high utility itemsets mining over data stream is one of the most challenging problems in the data mining literature. Due to many redundant candidate generations, the existing algorithm is hard to show good scalability over a massive data stream.
Xinru Chen, Pengjun Zhai, Yu Fang
semanticscholar   +1 more source

Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases

Future generations computer systems, 2020
Most traditional pattern mining is designed to process binary databases, so there is a limit to extracting meaningful information from real-world databases. To solve this problem, high utility pattern mining method for analyzing a non-binary database has
Unil Yun   +9 more
semanticscholar   +1 more source

High-utility pattern mining: A method for discovery of high-utility item sets

Pattern Recognition, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, Jianying, Mojsilovic, Aleksandra
openaire   +2 more sources

Mining high fuzzy utility sequential patterns

2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY), 2013
This work handles fuzzy utility sequential pattern mining, which applies the fuzzy set concept to find interesting high utility sequential patterns with linguistic meaning. In particular, a new fuzzy utility function is developed to evaluate the linguistic benefit of a pattern in a sequence, and an effective approach is developed to find high fuzzy ...
Guo-Cheng Lan   +3 more
openaire   +1 more source

Fuzzy High-Utility Pattern Mining based on the Hadoop Framework

2020 IEEE International Conference on Big Data (Big Data), 2020
In this paper, fuzzy-set theory is first used and a new algorithm called efficient fuzzy high-utility itemset mining (EFUPM) algorithm is designed to discover the fuzzy high-utility patterns from a single machine.
J. Wu   +3 more
semanticscholar   +1 more source

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