All listings for this product
Best-selling in Non-Fiction Books
Save on Non-Fiction Books
- AU $69.62Trending at AU $74.74
- AU $32.26Trending at AU $36.40
- AU $23.06Trending at AU $25.46
- AU $18.13Trending at AU $23.65
- AU $12.94Trending at AU $16.44
- AU $24.80Trending at AU $29.36
- AU $19.92Trending at AU $27.46
About this product
- DescriptionThe introduction of high-throughput methods has transformed biology into a data-rich science. Kwledge about biological entities and processes has traditionally been acquired by thousands of scientists through decades of experimentation and analysis. The current abundance of biomedical data is accompanied by the creation and quick dissemination of new information. Much of this information and kwledge, however, is represented only in text form--in the biomedical literature, lab tebooks, Web pages, and other sources. Researchers' need to find relevant information in the vast amounts of text has created a surge of interest in automated text-analysis. In this book, Hagit Shatkay and Mark Craven offer a concise and accessible introduction to key ideas in biomedical text mining. The chapters cover such topics as the relevant sources of biomedical text; text-analysis methods in natural language processing; the tasks of information extraction, information retrieval, and text categorization; and methods for empirically assessing text-mining systems. Finally, the authors describe several applications that recognize entities in text and link them to other entities and data resources, support the curation of structured databases, and make use of text to enable further prediction and discovery.
- Author BiographyHagit Shatkay is Associate Professor in the Department of Computer and Information Sciences and Head of the Computational Biomedicine Lab at the University of Delaware. Mark Craven is Professor in the Department of Biostatistics and Medical Informatics and in the Department of Computer Sciences at the University of Wisconsin.
- Author(s)Hagit Shatkay,Mark Craven
- PublisherMIT Press Ltd
- Date of Publication07/09/2012
- SubjectMedical Nursing & Ancillary Services
- Series TitleComputational Molecular Biology
- Place of PublicationCambridge, Mass.
- Country of PublicationUnited States
- ImprintMIT Press
- Content Note16 b&w illus., 12 tables
- Weight431 g
- Width175 mm
- Height229 mm
- Spine9 mm
- Interest AgeFrom 18
This item doesn't belong on this page.
Thanks, we'll look into this.