Results 11 to 20 of about 938,194 (261)
High-Utility Interval-Based Sequences [PDF]
To appear in Proceedings of the 22nd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK2020), Bratislava, Slovakia, September 14-17.
S. Mohammad Mirbagheri +1 more
openaire +2 more sources
An Efficient Approach for Mining Reliable High Utility Patterns
Utility mining is one of the most thriving research topics with a wide range of real-world applications. High utility pattern mining uses a utility function to extract all desired patterns that exceed a minimum utility threshold.
Mohammed A. Fouad +4 more
doaj +1 more source
Mining Correlated High Utility Itemsets in One Phase
High-utility itemset mining (HUIM) in transaction databases has been extensively studied to discover interesting itemsets from users' purchase behaviors. With this, business managers can adjust their sale strategies appropriately to increase profit. HUIM
Bay Vo +8 more
doaj +1 more source
A New Algorithm for High Average-utility Itemset Mining [PDF]
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
doaj +1 more source
Mining High Utility Time Interval Sequences Using MapReduce Approach: Multiple Utility Framework
Mining high utility sequential patterns is observed to be a significant research in data mining. Several methods mine the sequential patterns while taking utility values into consideration. The patterns of this type can determine the order in which items
Sumalatha Saleti +2 more
doaj +1 more source
Threonine Utilization Is High in the Intestine of Piglets [PDF]
The whole-body threonine requirement in parenterally fed piglets is substantially lower than that in enterally fed piglets, indicating that enteral nutrition induces intestinal processes in demand of threonine. We hypothesized that the percentage of threonine utilization for oxidation and intestinal protein synthesis by the portal-drained viscera (PDV)
Schaart, Maaike W. +6 more
openaire +4 more sources
An Efficient Method for Mining Closed Potential High-Utility Itemsets
High-utility itemset mining (HUIM) has become a key phase of the pattern mining process, which has wide applications, related to both quantities and profits of items. Many algorithms have been proposed to mine high-utility itemsets (HUIs).
Bay Vo +5 more
doaj +1 more source
Efficient Utility Tree-Based Algorithm to Mine High Utility Patterns Having Strong Correlation
High Utility Itemset Mining (HUIM) is one of the most investigated tasks of data mining. It has broad applications in domains such as product recommendation, market basket analysis, e-learning, text mining, bioinformatics, and web click stream analysis ...
Rashad Saeed +3 more
doaj +1 more source
A General Method for mining high-Utility itemsets with correlated measures
Discovering high-utility itemsets from a transaction database is one of the important tasks in High-Utility Itemset Mining (HUIM). The discovered high-utility itemsets (HUIs) must meet a user-defined given minimum utility threshold.
Nguyen Manh Hung, Tung NT, Bay Vo
doaj +1 more source
Mining Statistically Significant Patterns with High Utility
Statistically significant pattern mining (SSPM) is to mine patterns with significance based on hypothesis test. Under the constraint of statistical significance, our study aims to introduce a new preference relation into high utility patterns and to ...
Huijun Tang +3 more
doaj +1 more source

