Efficient approach for incremental weighted erasable pattern mining with list structure
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 …
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
Several pattern mining methods have been proposed to process dynamic data streams
because the data generated in industrial fields is continually accumulated. Erasable pattern …
because the data generated in industrial fields is continually accumulated. Erasable pattern …
A bitmap approach for mining erasable itemsets
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 …
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.
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 …
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
In the present scenario, high-performance computing needs more attention towards
multicore computing. While designing the CPU, we need to consider hardware for …
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 …
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 …
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 …
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 …
solve the problem of how to efficiently use limited funds to optimise production in economic …