Leveraging Big Data and AI: A Comprehensive Approach to Improving IoT, Data Mining, and Analytics for Healthcare, Finance, and Urban Planning
Khakimjon ZaynidinovTashkent University of Information Technologies Named after Muhammad ibn Musa al-Khwarizmi,Department of Artificial Intelligence,Tashkent,UzbekistanDanish AtherSonal PathakSchool of Computer Applications, Manav Rachna International Institute of Research and Studies (MRIIRS),Faridabad,Haryana,IndiaTemurbek KuchkorovTashkent University of Information Technologies Named after Muhammad ibn Musa al-Khwarizmi,Department of Artificial Intelligence,Tashkent,UzbekistanIbrohimbek YusupovTashkent University of Information Technologies Named after Muhammad ibn Musa al-Khwarizmi,Department of Artificial Intelligence,Tashkent,UzbekistanBakhtiyor MakhkamovTashkent University of Information Technologies Named after Muhammad ibn Musa al-Khwarizmi,Department of Artificial Intelligence,Tashkent,Uzbekistan
2024en
ABI
Annotatsiya
This paper seeks to unveil the capabilities of big data, artificial intelligence and IoT in different fields such as healthcare, urban planning, SCM and financial services. So, by involving several cases and several algorithms including WKMID3, k-mean clustering and pattern mining, we suggested the solutions that improve PRA and decision making in these sectors. We also describe big data application in Mediterranean fishing areas, Bluetooth traffic, and orientation toward healthcare applications for improvement. From our results, we can extrapolate that big data and AI can bring great benefits by optimizing systems in various domains.
Mavzular
Identifikatorlar
Iqtiboslar va manbalar
Koʻrsatkichlar — AkademScholar · Tez orada