We propose probabilistic latent variable models for multi-view anomaly detection, which is
the task of finding instances that have inconsistent views given multi-view data. With the …

Data mining is the extraction of useful, prognostic, interesting, and unknown information from
massive transaction databases and other repositories. Data mining tools predict potential …

The concept of data mining for discovering frequent image patterns in mammogram images
using association rule is presented. Proposed method works in two phases. First phase is …

Medical data are increasing continuously so we need to classify these data and
classification is very important task which can help in finding the hidden information from the …

Governments all over the world are concerned about the disease burden caused by chronic
conditions. A significant portion of this comes from potentially preventable hospital …

DICOM images are complex objects, due to the nature of storing clinical data and patient
images in a single file. The data sector stores roughly around 2000 tags which comprises of …

An apparel product (or “apparel”) is a human product. The design of an apparel product (or
“apparel design”) should share many features of general product design and be conducted …

The paper presents a Case-Based Reasoning Tool for Breast Cancer Knowledge
Management to improve breast cancer screening. To develop this tool, we combine both …

Image mining is more than just an extension of data mining to image domain. In recent
years, the concept of utilizing association rules for classification has emerged. This …

knowledge management, data mining, and text mining techniques have been adopted in
various successful biomedical applications in recent years. Data Mining (DM) is the most …