Efficient approach for incremental weighted erasable pattern mining with list structure

H Nam, U Yun, E Yoon, JCW Lin - Expert Systems with Applications, 2020 - Elsevier
Erasable pattern mining is one of the important fields of frequent pattern mining. It diagnoses
and solves the economic problems that arise in the manufacturing industry. The real-world …

Erasable pattern mining based on tree structures with damped window over data streams

Y Baek, U Yun, H Kim, H Nam, G Lee, E Yoon… - … Applications of Artificial …, 2020 - Elsevier
Several pattern mining methods have been proposed to process dynamic data streams
because the data generated in industrial fields is continually accumulated. Erasable pattern …

A bitmap approach for mining erasable itemsets

TP Hong, WM Huang, GC Lan, MC Chiang… - IEEE Access, 2021 - ieeexplore.ieee.org
Erasable-itemset mining is a valuable method of pattern extraction for helping the manager
of a factory analyze production planning. The erasable itemsets derived can be considered …

[PDF][PDF] A Fast Algorithm for Mining Top-Rank-k Erasable Closed Patterns.

H Nguyen, T Le - Computers, Materials & Continua, 2022 - cdn.techscience.cn
The task of mining erasable patterns (EPs) is a data mining problem that can help factory
managers come up with the best product plans for the future. This problem has been studied …

Prediction of multicore CPU performance through parallel data mining on public datasets

NM Upadhyay, RS Singh, SP Dwivedi - Displays, 2022 - Elsevier
In the present scenario, high-performance computing needs more attention towards
multicore computing. While designing the CPU, we need to consider hardware for …

Dependency Prediction of Long-Time Resource Uses in HPC Environment

NM Upadhyay, RS Singh, SP Dwivedi - IEEE Access, 2023 - ieeexplore.ieee.org
High-Performance computing provides a new infrastructure for scientific calculation and its
simulation. However, unbalanced load distribution among the processors causes a …

[PDF][PDF] A multithreaded hybrid framework for mining frequent itemsets

JSP Poovan, DA Udupi, NVS Reddy - International Journal of …, 2022 - academia.edu
Mining frequent itemsets is an area of data mining that has beguiled several researchers in
recent years. Varied data structures such as Nodesets, DiffNodesets, NegNodesets, N-lists …

A Parallel Mining Algorithm for Maximum Erasable Itemset Based on Multi-core Processor

Q Zhao, H Cheng, C Shen - Tehnički vjesnik, 2024 - hrcak.srce.hr
Sažetak Mining the erasable itemset is an interesting research domain, which has been
applied to solve the problem of how to efficiently use limited funds to optimise production in …

A Parallel Mining Algorithm for Maximum Erasable Itemset Based on Multi-core Processor.

Z Qunli, H CHENG, S Chen - Technical Gazette/Tehnički …, 2024 - search.ebscohost.com
Mining the erasable itemset is an interesting research domain, which has been applied to
solve the problem of how to efficiently use limited funds to optimise production in economic …