Prediction of customer behaviour analysis using classification algorithms

SS Raju, P Dhandayudam - AIP conference proceedings, 2018 - pubs.aip.org
Customer Relationship management plays a crucial role in analyzing of customer behavior
patterns and their values with an enterprise. Analyzing of customer data can be efficient …

Increasing Accuracy of C4. 5 Algorithm by applying discretization and correlation-based feature selection for chronic kidney disease diagnosis

N Cahyani, MA Muslim - Journal of Telecommunication, Electronic …, 2020 - jtec.utem.edu.my
Data mining is a technique of research necessary hidden information in a database to find
interesting pattern. In the health sector, data mining can be used to diagnose a disease from …

A novel method for dipper/non-dipper pattern classification in hypertensive and non-diabetic patients

ZA Altikardes, A Kayikli, H Korkmaz… - … and Health Care, 2019 - content.iospress.com
BACKGROUND: In the classical process, it was proven that ABPM data were the most
significant attributes both by physician and ranking algorithms for dipper/non-dipper pattern …

Development of decision support system using Mamdani type fuzzy logic clusters for metabolic syndrome risk assesment

S Birtane, E Canayaz, ZA Altikardes… - 2017 Medical …, 2017 - ieeexplore.ieee.org
Today, with the improvement of socioeconomic conditions, consumption of ready-to-eat
foods increased and a more non-mobile lifestyle became widespread. Thus, the incidence of …

[PDF][PDF] VERİ ANALİZİNE VE TAHMİNLEMEYE DAYALI GELİŞTİRİLEN MEDIC-AI WEB UYGULAMASI

A Karaj, AS Fak, ÖÜZA Altıkardeş - ONURSAL BAŞKAN/HONORARY … - researchgate.net
MEDIC-AI (Medical Artificial Intelligence) web uygulaması, HİPAM (Hipertansiyon ve
Ateroskleroz Eğitim, Uygulama ve Araştırma Merkezi) ve tıp öğrencileriyle ortaklaşa medikal …