Automated detection and diagnosis of diabetic retinopathy: A comprehensive survey

V Lakshminarayanan, H Kheradfallah, A Sarkar… - Journal of …, 2021 - mdpi.com
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …

Platform independent plug-in methods and systems for data mining and analytics

T Bruckhaus, R Kamalakannan - US Patent 8,417,715, 2013 - Google Patents
G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY
ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR …

[图书][B] A practical guide to data mining for business and industry

A Ahlemeyer-Stubbe, S Coleman - 2014 - books.google.com
Data mining is well on its way to becoming a recognized discipline in the overlapping areas
of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user …

[PDF][PDF] Information systems and processes in the analytical training of management scholars

VS Artamonov, AY Ivanov… - …, 2017 - sistemasblandosxd.revistaespacios …
The guidelines of the informational support for analytical training of management scholars
are considered. A comparative analysis of software systems focused on accounting and …

Bayesian-optimized extreme gradient boosting models for classification problems: an experimental analysis of product return case

B Bhattacharjee, K Unni, M Pratap - Journal of Systems and …, 2024 - emerald.com
Purpose Product returns are a major challenge for e-businesses as they involve huge
logistical and operational costs. Therefore, it becomes crucial to predict returns in advance …

Semi-supervised tri-Adaboost algorithm for network intrusion detection

Y Yuan, L Huo, Y Yuan, Z Wang - International Journal of …, 2019 - journals.sagepub.com
Network intrusion detection is a relatively mature research topic, but one that remains
challenging particular as technologies and threat landscape evolve. Here, a semi …

Content based fraudulent website detection using supervised machine learning techniques

M Maktabar, A Zainal, MA Maarof… - … Conference on Hybrid …, 2017 - Springer
Fraudulent websites pose as legitimate sources of information, goods, product and services
are propagating and resulted in loss of billions of dollars. Due to several undesirable …

Management of the formation of rating preferences of economic entities upon collective choice

YD Motorygin, VS Artamonov, AV Maximov… - … Journal of Economics …, 2016 - dergipark.org.tr
The applicability of a set of methods in the case of obtaining mixed results of the final
ranking of economic entities in the process of their rating assessment has been …

Patterns of persistence among engineering students at a South African university: A decision tree analysis

AV Bengesai, J Pocock - South African Journal of Science, 2021 - scielo.org.za
Globally, there is growing concern about student progression in most higher education
institutions. In this study, we examined patterns of persistence among students who began …

Multi-agent system based on machine learning for early diagnosis of diabetes

I Chakour, Y El Mourabit, C Daoui… - 2020 IEEE 6th …, 2020 - ieeexplore.ieee.org
Diabetes is increasing all over the world. In Morocco, more than 2 million people aged 18
and over are diabetic. In order to diagnose and treat diabetes, early detection is needed …