International Conference on Information and Knowledge Technology

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A Novel Approach to Data mining algorithms and IoT based data mining machine learning

Authors :

Danial Ramezani¹ Seyed Hossein Siadat²

1- دانشگاه آزاد اسلامی واحد قزوین 2- دانشگاه خوارزمی

Keywords :

health system،machine learning،IoT based data mining

Abstract :

With the rapid expansion of health facilities and technologies, the IoT-based data mining model strengthens the connection between machines and allows for remote monitoring to take place in the health care system. In the present research, the aim is to create and propose a new data mining method and a medical system to provide medical services with high speed and more accuracy in IoT-based data mining to achieve the goal. Separating the definitive data index from the health system has improved their current position. In the case of explicit and distributed EFD (Explore Fixed Data) data, we directly analyze the current meanings of the health system data field by implementing BAYESSTORE data model algorithms and comparing them with other similar ones. Although health system structures and correlations in data as objects are searched by applications, they can be effectively modeled and manipulated using C# Python tools and the GRADIO library

List of archived papers

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دکتر محمد ابراهیم سمیع - ساره رحمانیان محمد ابراهیم سمیع - ساره رحمانیان -

Blockchain-based Secure UAV-assisted Battlefield Operation underlying 5G

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A Deep Learning Framework for Phase-Aware Feature Representation to Improve Sound Source Direction and Distance Estimation

Zahra Abolfazli - Hamid Reza Abutalebi

Enhancing kNN-Based Intrusion Detection with Differential Evolution with Auto-Enhanced Population Diversity

Zohre Karimi - Zeinab Torabi

A Potential Solutions-Based Parallelized GA for Application Graph Mapping in Reconfigurable Hardware

Seyed Mehdi Mohtavipour - Hadi Shahriar Shahhoseini

BMPA- DSL: Binary Marine Predators Algorithm to Identify Driver's Different Levels of Stress

Mahtab Vaezi - Mehdi Nasri - Farhad Azimifar - Mahdi Mosleh

An Enhanced Fuzzy Rule-Based Method for Coronary Artery Disease Risk Prediction Using Weighted and Biased Rules

Fatemeh Ahmadi - Mohammad Javad Parseh - Ehsan Amiri

شناسایی و تحلیل ظرفیتهای استفاده از فناوری هوش مصنوعی در توسعه و بهبود شاخص مشارکت الکترونیکی

فرشاد حکمی زاده - عاطفه فرازمند

Beyond One-Hot: CatBoost for Heating and Cooling Load Prediction

Shayan Naghizadeh - Mohammad Saeed Rajabi - Ehsan Nazerfard

AI-Driven Approach to Detect Equivalent Elements within Domain Models

Mohammad-Sajad Kasaei - Mohammadreza Sharbaf - Afsaneh Fatemi - Bahman Zamani

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