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 …

[HTML][HTML] A review on big data based parallel and distributed approaches of pattern mining

S Kumar, KK Mohbey - Journal of King Saud University-Computer and …, 2022 - Elsevier
Pattern mining is a fundamental technique of data mining to discover interesting correlations
in the data set. There are several variations of pattern mining, such as frequent itemset …

Fish species classification by color, texture and multi-class support vector machine using computer vision

J Hu, D Li, Q Duan, Y Han, G Chen, X Si - Computers and electronics in …, 2012 - Elsevier
Remote diagnose of fish diseases for farmers is unrealized in China, but use of mobile
phones and remote analysis based on image processing can be feasible due to the …

Differentiating the learning styles of college students in different disciplines in a college English blended learning setting

J Hu, Y Peng, X Chen, H Yu - PloS one, 2021 - journals.plos.org
Learning styles are critical to educational psychology, especially when investigating various
contextual factors that interact with individual learning styles. Drawing upon Biglan's …

Strategies for the content determination of capsaicin and the identification of adulterated pepper powder using a hand-held near-infrared spectrometer

S Wu, L Wang, G Zhou, C Liu, Z Ji, Z Li, W Li - Food Research International, 2023 - Elsevier
To achieve the goals of rapid content determination of capsaicin and adulteration detection
of pepper powder. The method based on the hand-held near-infrared spectrometer …

SVM-SMO-SGD: A hybrid-parallel support vector machine algorithm using sequential minimal optimization with stochastic gradient descent

G Mutlu, Çİ Acı - Parallel Computing, 2022 - Elsevier
Abstract The Support Vector Machine (SVM) method is one of the popular machine learning
algorithms as it gives high accuracy. However, like most machine learning algorithms, the …

Text authorship identified using the dynamics of word co-occurrence networks

C Akimushkin, DR Amancio, ON Oliveira Jr - PloS one, 2017 - journals.plos.org
Automatic identification of authorship in disputed documents has benefited from complex
network theory as this approach does not require human expertise or detailed semantic …

Parallel computing of support vector machines: a survey

S Tavara - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
The immense amount of data created by digitalization requires parallel computing for
machine-learning methods. While there are many parallel implementations for support …

Multivariable modeling of valve inner leakage acoustic emission signal based on Gaussian process

GY Ye, KJ Xu, WK Wu - Mechanical Systems and Signal Processing, 2020 - Elsevier
As a non-destructive testing method, acoustic emission (AE) technology can be used for
internal leakage detection of valve on-line. In order to enhance the practicability of valve …

A MapReduce based parallel SVM for email classification

K Xu, C Wen, Q Yuan, X He, J Tie - Journal of Networks, 2014 - search.proquest.com
Abstract Support Vector Machine (SVM) is a powerful classification and regression tool.
Varying approaches, including SVM-based techniques, are proposed for email …