Efficient Retrieval of Text for Biomedical Domain using Data Mining Algorithm

Using Data Mining methodology for text retrieval

Futurologists and science-fiction writers have been foreseeing an information explosion phenomenon for many years, but during last decades we can experience it by ourselves. Thanks to the rapid development of Internet, printing technology and widespread use of multimedia most of us have almost instant access to tremendous amounts of information. Unfortunately these advancements in data storage ...

Text and Data Mining for Biomedical Discovery

The biggest challenge for text and data mining is to truly impact the biomedical discovery process, enabling scientists to generate novel hypothesis to address the most crucial questions. Among a number of worthy submissions, we have selected six papers that exemplify advances in text and data mining methods that have a demonstrated impact on a wide range of applications. Work presented in this...

Information Retrieval Architecture for Text Mining of Biomedical Literature

Database

Estimating the scale of biomedical data generation using text mining

An Efficient Clustering Algorithm for Text Mining Using Greedy Approach

I. Introduction " Data Mining " involves the integration of concepts from computer science, mathematics, and statistics. It seeks to extract useful information and detect interesting correlation and patterns from any form of data, especially numeric data. Data Mining is most associated with the broader process of Knowledge Discovery in Databases (KDD), " the nontrivial process of identifying va...