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 …

Predicting risk of low birth weight offspring from maternal features and blood polycyclic aromatic hydrocarbon concentration

SN Kumar, P Saxena, R Patel, A Sharma… - Reproductive …, 2020 - Elsevier
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 …

RETRACTED: Mixed-mode database miner classifier: Parallel computation of graphical processing unit mining

SR Nayak, S Sivakumar, AK Bhoi… - … Journal of Electrical …, 2023 - journals.sagepub.com
The objective of data science is to find or access common and frequent patterns from a high
amount of information. In order to find such patterns, the data mining concept involves …

[PDF][PDF] Machine learning classifiers: a brief primer

AA Abro, AA Khan, MSH Talpur, I Kayijuka… - University of Sindh …, 2021 - academia.edu
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 …

A stacking-based ensemble learning method for outlier detection

AA Abro, E Taşcı, A Ugur - Balkan Journal of Electrical and …, 2020 - dergipark.org.tr
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 …

Predicting tensile-shear strength of nugget using M5P model tree and random forest: An analysis

SK Dang, K Singh - Computers in Industry, 2021 - Elsevier
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 …

Identifying the machine learning techniques for classification of target datasets

AA Abro, MA Yimer, Z Bhatti - Sukkur IBA Journal of …, 2020 - journal.iba-suk.edu.pk
Given the dynamic and convoluted nature of numerous datasets, the necessity of enhancing
performance outcomes and handling multiple datasets has become more challenging. To …

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 …

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 …

Voting combinations-based ensemble: A hybrid approach

AA Abro, MSH Talpur, AK Jumani… - … University Journal of …, 2021 - dergipark.org.tr
Machine learning (ML) is a prominent and extensively researched field in the artificial
intelligence area which assists to strengthen the accomplishment of classification. In this …