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

یک روش خوشه بندی گره ها برای شبکه های حسگر بی‌سیم با هدف بهبود متوازن سازی بار مبتنی بر تکنیک تاپسیس

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Stock Market Prediction Using Hard and Soft Data Fusion

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Forouzan Dastbaz - Abdolah Chalechale

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A Data-Efficient Approach to Solar Panel Micro-Crack Detection via Self-Supervised Learning

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Aligning the Brick and Mortar cosmetic with digital transformation as the right way to overhaul the In-store Experience

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An Eco-Friendly Cosmopolitan (EFC) by Recycling Scientific/Industrial Towns (RSITs)

Engineer Reza Khalilian - Dr. Abdalhossein Rezai - Dr. Mohammadreza Talakesh

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محسن اکبری - دکتر مریم مؤمنی محسن اکبری - مریم مؤمنی -

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