Motivation: Genome-wide high density SNP association studies are expected to identify
various SNP alleles associated with different complex disorders. Understanding the …

Text mining has emerged as a different stream in data mining because of the unstructured
nature associated with free text. Many algorithms have been developed to assist in text …

The availability of large-scale data on the Web motivates the development of automatic
algorithms to analyze topics and to identify relationships between topics. Various …

A massive rise in the number and expenditure of pathology ordering by general practitioners
(GPs) concerns the government and attracts various studies with the aim to understand and …

This study is an attempt to evaluate the feasibility of microprogrammed routines for
monitoring significant digits in the numerical result of digital computers in real time. The first …

Text mining can be described as the process of identifying new information from a collection
of text. The area of text mining is often confused with Information Retrieval (IR). In IR, one …

The application of data mining and knowledge discovery techniques to real world domains
is a rewarding but extremely challenging process. The massive size, high dimensionality …

Text mining also known as Text Data Mining (TDM)[23] and Knowledge Discovery in Textual
Databases (KDT)[15] can be described as the process of identifying novel information from a …