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Scientific data mining and knowledge discovery : principles and foundations / Mohamed Medhat Gaber, editor.

Contributor(s): Material type: TextTextPublication details: Heidelberg ; New York : Springer, c2010.Description: x, 400 p. : ill. ; 24 cmISBN:
  • 9783642027871
Subject(s): LOC classification:
  • QA76.9.D343 S416 2010
Online resources:
Contents:
Introduction / Mohamed Medhat Gaber -- Part I. Background. Machine learning / Achim Hoffmann and Ashesh Mahidadia ; Statistical inference / Shahjahan Khan ; The philosophy of science and its relation to machine learning / Jon Williamson ; Concept formation in scientific knowledge discovery from a constructivist view / Wei Peng and John S. Gero ; Knowledge representation and ontologies / Stephan Grimm -- Part II. Computational science. Spatial techniques / Nafaa Jabeur and Nabil Sahli ; Computational chemistry / Hassan Safouhi and Ahmed Bouferguene ; String mining in bioinformatics / Mohamed Abouelhoda and Moustafa Ghanem -- Part III. Data mining and knowledge discovery. Knowledge discovery and reasoning in geospatial applications / Nabil Sahli and Nafaa Jabeur ; Data mining and discovery of chemical knowledge / Lu Wencong ; Data mining and discovery of astronomical knowledge / Ghazi Al-Naymat -- Part IV. Future trends. On-board data mining / Steve Tanner, Cara Stein, and Sara J. Graves ; Data streams: an overview and scientific applications / Charu C. Aggarwal -- Index.
Scope and content: "The contributions in this book provide the reader with a complete view of the different tools used in the analysis of data for scientific discovery. Gaber has organized the presentation into four parts: Part I provides the reader with the necessary background in the disciplines on which scientific data mining and knowledge discovery are based. Part II details applications of computational methods used in geospatial, chemical, and bioinformatics applications. Part III is about data mining applications in geosciences, chemistry, and physics. Finally, in Part IV, future trends and directions for research are explained."--Springer website, viewed 17 November 2009.
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Open Shelf Books Open Shelf Books Al-Ghazali Library BKS QA76.9.D343 S416 2010 (Browse shelf(Opens below)) 1 Available GHAZ13042419

Includes bibliographical references and index.

Introduction / Mohamed Medhat Gaber -- Part I. Background. Machine learning / Achim Hoffmann and Ashesh Mahidadia ; Statistical inference / Shahjahan Khan ; The philosophy of science and its relation to machine learning / Jon Williamson ; Concept formation in scientific knowledge discovery from a constructivist view / Wei Peng and John S. Gero ; Knowledge representation and ontologies / Stephan Grimm -- Part II. Computational science. Spatial techniques / Nafaa Jabeur and Nabil Sahli ; Computational chemistry / Hassan Safouhi and Ahmed Bouferguene ; String mining in bioinformatics / Mohamed Abouelhoda and Moustafa Ghanem -- Part III. Data mining and knowledge discovery. Knowledge discovery and reasoning in geospatial applications / Nabil Sahli and Nafaa Jabeur ; Data mining and discovery of chemical knowledge / Lu Wencong ; Data mining and discovery of astronomical knowledge / Ghazi Al-Naymat -- Part IV. Future trends. On-board data mining / Steve Tanner, Cara Stein, and Sara J. Graves ; Data streams: an overview and scientific applications / Charu C. Aggarwal -- Index.

"The contributions in this book provide the reader with a complete view of the different tools used in the analysis of data for scientific discovery. Gaber has organized the presentation into four parts: Part I provides the reader with the necessary background in the disciplines on which scientific data mining and knowledge discovery are based. Part II details applications of computational methods used in geospatial, chemical, and bioinformatics applications. Part III is about data mining applications in geosciences, chemistry, and physics. Finally, in Part IV, future trends and directions for research are explained."--Springer website, viewed 17 November 2009.