Results 71 to 80 of about 311 (178)

AN EFFICIENT ALGORITHM FOR MINING HIGH UTILITY ITEMSETS

Tạp chí Khoa học
High utility itemsets (HUIs) mining is the finding of itemsets that satisfy a user-defined minimum utility threshold. Many successful studies in this field have been carried out, however they are all reliant on Tidset techniques, which records the ...
Nguyen Thi Thanh Thuy*, Nguyen Van Le, Manh Thien Ly
doaj   +1 more source

MEMU: More Efficient Algorithm to Mine High Average-Utility Patterns With Multiple Minimum Average-Utility Thresholds

IEEE Access, 2018
High average-utility itemsets mining (HAUIM) is an emerging topic in data mining. Compared to traditional high utility itemset mining, HAUIM more fairly measures the utility of itemsets by considering their lengths (number of items).
Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger   +2 more
doaj   +1 more source

Mining High-Efficiency Itemsets with Negative Utilities

Mathematics
High-efficiency itemset mining has recently emerged as a new problem in itemset mining. An itemset is classified as a high-efficiency itemset if its utility-to-investment ratio meets or exceeds a specified efficiency threshold.
Irfan Yildirim
doaj   +1 more source

Selective Database Projections Based Approach for Mining High-Utility Itemsets

IEEE Access, 2018
High-utility itemset mining (HilIM) is an emerging area of data mining and is widely used. HilIM differs from the frequent itemset mining (FIM), as the latter considers only the frequency factor, whereas the former has been designed to address both ...
Anita Bai, Parag S. Deshpande, Meera Dhabu   +2 more
doaj   +1 more source

High utility-itemset mining and privacy-preserving utility mining

Perspectives in Science, 2016
SummaryIn recent decades, high-utility itemset mining (HUIM) has emerging a critical research topic since the quantity and profit factors are both concerned to mine the high-utility itemsets (HUIs). Generally, data mining is commonly used to discover interesting and useful knowledge from massive data. It may, however, lead to privacy threats if private
Lin, Jerry Chun-Wei, Gan, Wensheng, Fournier-Viger, Philippe, Yang, Lu, Liu, Qiankun, Frnda, Jaroslav, Sevcik, Lukas, Voznak, Miroslav   +7 more
openaire   +1 more source

Efficient High Utility Itemset Mining using Utility Information Record

International Journal of Computer Applications, 2015
High utility itemsets refer to the sets of items with high utility like profit in a database, and efficient mining of high utility itemsets plays an important role in many real life applications and is an important research issue in data mining area. In recent years, the problems of high utility pattern mining become one of the most important research ...
P. C. Gill, S. R. Chaudhari, Prashant V.Barhate   +2 more
openaire   +1 more source

Mining actionable combined high utility incremental and associated sequential patterns. [PDF]

PLoS One, 2023
Shi M, Gong Y, Xu T, Zhao L.
europepmc   +1 more source

Rule-ranking method based on item utility in adaptive rule model. [PDF]

PeerJ Comput Sci, 2022
Hikmawati E, Maulidevi NU, Surendro K.
europepmc   +1 more source

High Utility Itemset Mining Using Transaction Utility of Itemsets

KIPS Transactions on Software and Data Engineering, 2015
Serin Lee, Jong Soo Park
openaire   +2 more sources

TKU-PSO: An Efficient Particle Swarm Optimization Model for Top-K High-Utility Itemset Mining.

International Journal of Interactive Multimedia and Artificial Intelligence
Top-k high-utility itemset mining (top- HUIM) is a data mining procedure used to identify the most valuable patterns within transactional data. Although many algorithms are proposed for this purpose, they require substantial execution times when the ...
Simen Carstensen, Jerry Chun Wei Lin
doaj   +1 more source