N P PATNAIK M
Lendi Institute of Engineering and Technology
The rapid expansion of the World Wide Web has led to an enormous increase in online data, creating the need for efficient techniques to extract valuable information. Web mining, a subset of data mining, focuses on discovering meaningful patterns, relationships, and trends from web resources such as web content, structure,...
Brahmaji Godi
Raghu Engineering College(Autonomous)
The rapid increase in urban population has led to significant challenges in effective waste collection and disposal. Traditional waste management systems are often inefficient, resulting in environmental pollution and increased operational costs. This paper presents an Intelligent Waste Management System (IWMS) based on the Internet of Things (IoT) to enhance...
T. Chalapathi Rao
Aditya Institute of Technology and Management
Breast cancer remains one of the most common and life-threatening diseases among women worldwide. Early detection and accurate prognosis play a vital role in improving patient survival rates. This paper focuses on the diagnosis and prognosis analysis of breast cancer using machine learning and data mining classification techniques. The proposed...
K. Kantha Raju
KL University
With the exponential growth of healthcare data, disease prediction has become a crucial area of research in medical data analytics. This paper presents an approach that combines data mining techniques and machine learning algorithms to predict diseases accurately and efficiently. The proposed system analyzes patient data such as medical history,...