A survey on graphic processing unit computing for large‐scale data mining
A Cano - Wiley Interdisciplinary Reviews: Data Mining and …, 2018 - Wiley Online Library
General purpose computation using Graphic Processing Units (GPUs) is a well‐established
research area focusing on high‐performance computing solutions for massively …
research area focusing on high‐performance computing solutions for massively …
Predicting risk of low birth weight offspring from maternal features and blood polycyclic aromatic hydrocarbon concentration
Prenatal exposure to organic pollutants increases the risk of low birth weight (LBW)
offspring. Women involved in the plucking of tea leaves can be exposed to polycyclic …
offspring. Women involved in the plucking of tea leaves can be exposed to polycyclic …
RETRACTED: Mixed-mode database miner classifier: Parallel computation of graphical processing unit mining
Graphical processing unit (GPU) has gained more popularity among researchers in the field
of decision making and knowledge discovery systems. However, most of the earlier studies …
of decision making and knowledge discovery systems. However, most of the earlier studies …
[PDF][PDF] Machine learning classifiers: a brief primer
Machine learning is a prominent and an intensively studied field in the artificial intelligence
area which assists to enhance the performance of classification. In this paper, the main idea …
area which assists to enhance the performance of classification. In this paper, the main idea …
A stacking-based ensemble learning method for outlier detection
Outlier detection is considered as one of the crucial research areas for data mining. Many
methods have been studied widely and utilized for achieving better results in outlier …
methods have been studied widely and utilized for achieving better results in outlier …
Predicting tensile-shear strength of nugget using M5P model tree and random forest: An analysis
Predicting the outcomes of a weld based on few metals with respect to its process
parameters is a trivial phenomenon. However, the prediction requires complex mathematical …
parameters is a trivial phenomenon. However, the prediction requires complex mathematical …
[PDF][PDF] Identifying the machine learning techniques for classification of target datasets
AA Abro - Computer Science-Artificial Intelligence, 2020 - papers.ssrn.com
Given the dynamic and convoluted nature of numerous datasets, the necessity of enhancing
performance outcomes and handling multiple datasets has become more challenging. To …
performance outcomes and handling multiple datasets has become more challenging. To …
Towards the Improvement of Credit Card Approval Process Using Classification Algorithm
ECD Del Pilar, MF Bongo - 2023 8th International Conference …, 2023 - ieeexplore.ieee.org
For financial institutions, such as banks, one of the major sources to earn includes the
issuance of credit cards. Over time, there has been a significant growth of applicants that opt …
issuance of credit cards. Over time, there has been a significant growth of applicants that opt …
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 …
Performance improvement of data mining in Weka through multi-core and GPU acceleration: opportunities and pitfalls
Data mining tools may be computationally demanding, which leads to an increasing interest
on parallel computing strategies in order to improve their performance. While multi-core …
on parallel computing strategies in order to improve their performance. While multi-core …