Results 21 to 30 of about 615 (220)

LUIM: New Low-Utility Itemset Mining Framework

IEEE Access, 2019
High-utility itemset mining (HUIM), which is the detection of high-utility itemsets (HUIs) in a transactional database, provides the decision maker with greater flexibility to exploit item utilities, such as quantity and profits, to extract remarkable ...
Naji Alhusaini, Saleem Karmoshi, Ammar Hawbani, Li Jing, Abdullah Alhusaini, Yaser Al-sharabi   +5 more
doaj   +1 more source

A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop

Complex System Modeling and Simulation, 2023
High-utility itemset mining (HUIM) can consider not only the profit factor but also the profitable factor, which is an essential task in data mining. However, most HUIM algorithms are mainly developed on a single machine, which is inefficient for big ...
Zaihe Cheng, Wei Shen, Wei Fang, Jerry Chun-Wei Lin   +3 more
doaj   +1 more source

An Efficient Method for Mining Closed Potential High-Utility Itemsets

IEEE Access, 2020
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, Loan T. T. Nguyen, Nguyen Bui, Trinh D. D. Nguyen, Van-Nam Huynh, Tzung-Pei Hong   +5 more
doaj   +1 more source

Maintenance of discovered high average-utility itemsets in dynamic databases [PDF]

, 2018
High-utility itemset mining (HUIM) is an extension of traditional frequent itemset mining, which considers both quantities and unit profits of items in a database to reveal highly profitable itemsets regardless of their size. High average-utility itemset
Zhang, Binbin, Djenouri, Youcef, Philippe Fournier-Viger, Youcef Djenouri, Shao, Yinan, Binbin Zhang, Lin, Jerry Chun Wei, Jerry Lin, Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Yinan Shao   +10 more
core   +1 more source

Data sanitization in association rule mining based on impact factor [PDF]

Journal of Artificial Intelligence and Data Mining, 2015
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns.
A. Telikani, A. Shahbahrami, R. Tavoli
doaj   +1 more source

Ignoring Internal Utilities in High-Utility Itemset Mining

Symmetry, 2022
High-utility itemset mining discovers a set of items that are sold together and have utility values higher than a given minimum utility threshold. The utilities of these itemsets are calculated by considering their internal and external utility values, which correspond, respectively, to the quantity sold of each item in each transaction and profit ...
openaire   +1 more source

A review on big data based parallel and distributed approaches of pattern mining

Journal of King Saud University: Computer and Information Sciences, 2022
Pattern mining is a fundamental technique of data mining to discover interesting correlations in the data set. There are several variations of pattern mining, such as frequent itemset mining, sequence mining, and high utility itemset mining. High utility
Sunil Kumar, Krishna Kumar Mohbey
doaj   +1 more source

MINING OF HIGH-UTILITY ITEMSETS WITH NEGATIVE UTILITY

JOURNAL OF TECHNOLOGY & INNOVATION, 2020
The goal of the high-utility itemset mining task is to discover combinations of items that yield high profits from transactional databases. HUIM is a useful tool for retail stores to analyze customer behaviors. However, in the real world, items are found with both positive and negative utility values.
Tung N.T, Nguyen Le Van, Trinh Cong Nhut, Tran Van Sang   +3 more
openaire   +1 more source

TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns

IEEE Access, 2018
High-utility itemset mining (HUIM) has been gaining popularity in the field of data mining. Frequent itemset mining used to be the main tool to reveal high-frequency patterns but failed to consider the concept of profit.
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Matin Pirouz, Philippe Fournier-Viger   +3 more
doaj   +1 more source

A two-phase approach to mine short-period high-utility itemsets in transactional databases

, 2017
The discovery of high-utility itemsets (HUIs) in transactional databases has attracted much interest from researchers in recent years since it can uncover hidden information that is useful for decision making, and it is widely used in many domains ...
Philippe Fournier-Viger, Zhang, Jiexiong, Zhang, Ji, Tzung-Pei Hong, Jerry Chun-Wei Lin, Lin, Jerry Chun-Wei, Hong, Tzung-Pei, Ji Zhang, Fournier-Viger, Philippe, Jiexiong Zhang   +9 more
core   +1 more source