• Regular Issue
    Web Mining Process and Applications using Cloud Computing

    N P PATNAIK M

    India

    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,...

    • Research Type: Applied Research
    • Paper Type: Analytical Research Paper
    • Vol.2, Issue 2, Pages: 1 - 4, Mar 2020
    • Published on: 05 Mar, 2020
    • Issue Type: Regular
  • Regular Issue
    An Intelligent Waste Management System using Internet of Things Applications

    Brahmaji Godi

    India

    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...

    • Research Type: Flexible Research
    • Paper Type: Theoretical Research Paper
    • Vol.2, Issue 2, Pages: 5 - 8, Mar 2020
    • Published on: 25 Mar, 2020
    • Issue Type: Regular
  • Regular Issue
    Breast Cancer Diagnosis and Prognsis Analysis by using Machine Learning with Data Mining Classification Techniques

    T. Chalapathi Rao

    India

    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...

    • Research Type: Classification Research
    • Paper Type: Theoretical Research Paper
    • Vol.2, Issue 2, Pages: 9 -15, Apr 2020
    • Published on: 14 Apr, 2020
    • Issue Type: Regular
  • Regular Issue
    Disease Prediction in Data Mining Techinque using machine Learning

    K. Kantha Raju

    India

    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,...

    • Research Type: Classification Research
    • Paper Type: Qualitative Research Paper
    • Vol.2, Issue 2, Pages: 16 - 21, Apr 2020
    • Published on: 28 Apr, 2020
    • Issue Type: Regular
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