Results 151 to 160 of about 5,295 (219)

Fuzzy based Hybrid Improvised High Utility Itemset Mining

2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
The High Utility Itemset(HUI) in a big transactional database is analysed utilising a variety of methodologies, algorithms, and procedures. This research is beneficial for highlighting the issues associated in High Utility Itemset Mining (HUIM), and the ...
J. Barnabas, Paul Glady, D.N.S.Ravikumar, D.Ramya, B.Padmanabhan, S. Jebaseelan, D. Sri, Sharmila Devi   +7 more
semanticscholar   +1 more source

Vertical mining for high utility itemsets

2012 IEEE International Conference on Granular Computing, 2012
Recently, high utility itemsets mining becomes one of the most important research issues in data mining due to its ability to consider different profit values for every item. In the past studies, most algorithms generate high utility itemsets from a set of transactions in horizontal data format.
Wei Song, Yu Liu, Jinhong Li
openaire   +1 more source

Efficiently mining uncertain high-utility itemsets

Soft Computing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lin, Jerry Chun-Wei, Gan, Wensheng, Fournier-Viger, Philippe, Hong, Tzung-Pei, Tseng, Vincent S.   +4 more
openaire   +2 more sources

Efficient top-k high utility itemset mining on massive data

Information Sciences, 2020
In practical applications, top-k high utility itemset mining (top-k HUIM) is an interesting operation to find the k itemsets with the highest utilities. It is analyzed that, the existing algorithms only can deal with the small and medium-sized data, and ...
Xixian Han, Xianmin Liu, Jianzhong Li, Hong Gao   +3 more
semanticscholar   +1 more source

Efficient High-utility Itemset Mining Based on a Novel Data Structure

2021 IEEE International Smart Cities Conference (ISC2), 2021
High-utility itemset mining (HUIM) is one of the important tasks in data mining. In HUIM, the most profitable products can be found by considering the quantity and profit factors, rather than the frequency factor.
Wei-Yuan Shen, Chaozhi Zhang, Wei Fang, Xin Zhang, Zhi-hui Zhan, Chun-Wei Lin   +5 more
semanticscholar   +1 more source

High-Utility Itemset Mining with Effective Pruning Strategies

ACM Transactions on Knowledge Discovery from Data, 2019
High-utility itemset mining is a popular data mining problem that considers utility factors, such as quantity and unit profit of items besides frequency measure from the transactional database.
J. Wu, Chun-Wei Lin, A. Tamrakar
semanticscholar   +1 more source

High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound

Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies, 2023
High Average Utility Itemset (HAUI) mining (HAUIM) is an important task in data mining, as it has practical applications in diverse domains. To design efficient algorithms for HAUIM, researchers need to utilize upper bounds (UB) and weak upper bounds ...
Thong Tran, Hai V. Duong, Tin C. Truong, Anh N. Tran   +3 more
semanticscholar   +1 more source

Mining High Utility Itemset with Hybrid Ant Colony Optimization Algorithm

International Journal of Advanced Computer Science and Applications
—A significant area of study within data mining is high-utility itemset mining (HUIM). The exponential problem of broad search space usually comes up while using traditional HUIM algorithms when the database size or the number of unique objects is huge ...
Keerthi Mohan, A. J.
semanticscholar   +1 more source

Correlated High Utility Itemset Mining Based on Item Decomposition

International Conference on the Internet, Cyber Security and Information Systems, 2021
Correlated High utility itemset mining discovers itemsets whose correlation and utility are above the minimum thresholds. However, performance limitations relevant to memory and time result in scalability issues when exploring the search space in a large
M. Fouad, Wedad Hussein, Sherine Rady, Philip S. Yu, Tarek F. Gharib   +4 more
semanticscholar   +1 more source

A BPSO-based method for high-utility itemset mining without minimum utility threshold

Knowledge-Based Systems, 2020
High-utility itemset mining is used to obtain high utility itemsets by taking into account both the quantity as well as the utility of each item, which have not been considered in frequent itemset mining.
Ridowati Gunawan, E. Winarko, Reza Pulungan   +2 more
semanticscholar   +1 more source