Accelerating discovery mining unstructured information for hypothesis generation

Unstructured Mining Approaches to Solve Complex Scientific ProblemsAs the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process and synthesize information and to formulate new hypotheses that are most likely to be both true and i...

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Detalles Bibliográficos
Otros Autores: Spangler, Scott, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press, is an imprint of the Taylor & Francis Group, an Informa business [2016]
Edición:1st edition
Colección:Chapman & Hall/CRC data mining and knowledge discovery series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630057006719
Descripción
Sumario:Unstructured Mining Approaches to Solve Complex Scientific ProblemsAs the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process and synthesize information and to formulate new hypotheses that are most likely to be both true and important. Accelerating Discovery: Mining Unstructu
Notas:A Chapman and Hall book--title page.
Descripción Física:1 online resource (304 p.)
Bibliografía:Includes bibliographical references.
ISBN:9780429157318
9781482239140