The introduction of high-throughput methods has transformed biology into a data-richscience. Knowledge about biological entities and processes has traditionally been acquired bythousands of scientists through decades of experimentation and analysis. The current abundance ofbiomedical data is accompanied by the creation and quick dissemination of new information. Much ofthis information and knowledge, however, is represented only in text form--in the biomedicalliterature, lab notebooks, Web pages, and other sources. Researchers' need to find relevantinformation in the vast amounts of text has created a surge of interest in automatedtext-analysis.
In this book, Hagit Shatkay and Mark Craven offer a concise andaccessible introduction to key ideas in biomedical text mining. The chapters cover such topics asthe relevant sources of biomedical text; text-analysis methods in natural language processing; thetasks of information extraction, information retrieval, and text categorization; and methods forempirically assessing text-mining systems. Finally, the authors describe several applications thatrecognize entities in text and link them to other entities and data resources, support the curationof structured databases, and make use of text to enable further prediction and discovery.
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。
