Results 261 to 270 of about 16,307,830 (290)

Mining Minimal High-Utility Itemsets

2016
Mining high-utility itemsets HUIs is a key data mining task. It consists of discovering groups of items that yield a high profit in transaction databases. A major drawback of traditional high-utility itemset mining algorithms is that they can return a large number of HUIs. Analyzing a large result set can be very time-consuming for users.
Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, Usef Faghihi   +4 more
openaire   +1 more source

Mining Local High Utility Itemsets

2018
High Utility Itemset Mining (HUIM) is the task of analyzing customer transactions to find the sets of items that yield a high utility (e.g. profit). A major limitation of traditional HUIM algorithms is that they do not consider that the utility of itemsets vary over time.
Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh   +4 more
openaire   +1 more source

A residual utility-based concept for high-utility itemset mining

Knowledge and Information Systems, 2023
Pushp Sra, Satish Chand
openaire   +2 more sources

Exploiting High Utility Occupancy Patterns

2017
Most studies have considered the frequency as sole interestingness measure for identifying high quality patterns. However, each object is different in nature, in terms of criteria such as the utility, risk, or interest. Besides, another limitation of frequent patterns is that they generally have a low occupancy, and may not be truly representative ...
Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao   +3 more
openaire   +2 more sources

Targeted High-Utility Itemset Querying

IEEE Transactions on Artificial Intelligence, 2021
Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun 0002, Jiahui Chen 0002   +4 more
openaire   +1 more source

Stable High Utility Itemset Mining

The 23rd International Conference on Information Integration and Web Intelligence, 2021
Acquah Hackman, Yu Huang 0018, Philippe Fournier-Viger, Vincent S. Tseng   +3 more
openaire   +2 more sources

ProUM: Projection-based utility mining on sequence data

Information Sciences, 2020
Hamido Fujita, Jerry Chun-Wei Lin, Philip S. Yu   +2 more
exaly  

The Progressing Clinical Utility of DNA Microarrays†

Ca-A Cancer Journal for Clinicians, 2002
Jill Macoska
exaly  

Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases

IEEE Transactions on Knowledge and Data Engineering, 2013
Philip S. Yu, Vincent S Tseng, Wu Cheng-Wei   +2 more
exaly  

Parallel High Utility Itemset Mining

2022
Gaojuan Fan, Huaiyuan Xiao, Chongsheng Zhang, George Almpanidis, Philippe Fournier-Viger, Hamido Fujita   +5 more
openaire   +2 more sources