Today, it is possible to monitor a gene expression on a genomic scale using hierarchical
clustering, DNA micro-arrays and k-means partitioning which are being the most popular …

Breast Cancer has turned into a typical disease around the globe and harvesting the life of
young women and the main source of cancer death and caused 22.9% of a wide range of …

Because of the interest in mining learning from text and even images shared in the posts,
comments, and chats of online e-learning networks, it is necessary to identify whether the …

Dimensionality reduction is very challenging and important in text mining. We need to know
which features be retained what to be and It helps in reducing the processing overhead …

This paper introduces a generic way to incorporate color information into local, SIFT-like
descriptors, in view of image matching. First, a new color descriptor, relying on local hue …

Imputation of missing attribute values in medical datasets for extracting hidden knowledge
from medical datasets is an interesting research topic of interest which is very challenging …

Feature dimensionality has always been one of the key challenges in text mining as it
increases complexity when mining documents with high dimensionality. High dimensionality …