Objective Clinical data mining is the application of data mining techniques using clinical
data. We review the literature in order to provide a general overview by identifying the status …

Data mining is the process of finding the patterns, associations or relationships among data
using different analytical techniques involving the creation of a model and the concluded …

In this paper, we present a novel method for the classification of mammograms using a
unique weighted association rule based classifier. Images are preprocessed to reveal …

In this chapter we discuss how to take advantage of association rule mining to promote
feature selection from low-level image features. Feature selection can significantly improve …

Focusing on three applications of data mining, Design and Implementation of Data Mining
Tools explains how to create and employ systems and tools for intrusion detection, Web …

Group comparison per se is a fundamental task in many scientific endeavours but is also the
basis of any classifier. Contrast sets and emerging patterns contrast between groups of …

Automatic mammogram analysis is important in early breast cancer detection. In this paper,
we present a multi-resolution approach to automated classification of mammograms using …

Breast cancer is the most common cancer diagnosed among US women. In this paper we
have done some experiments for tumor detection in digital mammogram images. First of all …

Breast cancer is the second leading cause of cancer deaths in women today and the most
common cancer among women. At present there is no known method to prevent breast …

This paper is a study on Computer Aided Diagnosing techniques that allow detection of lung
cancer nodules through the analysis of Chest images. In Computer Aided Diagnosis, two …